Triple
T7392990
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | George Church |
E170546
|
entity |
| Predicate | coFounded |
P104
|
FINISHED |
| Object |
ReadCoor
ReadCoor is a biotechnology company specializing in advanced spatial genomics and in situ sequencing technologies for high-resolution mapping of biological tissues.
|
E661994
|
NE FINISHED |
How this triple was built (4 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: ReadCoor | Statement: [George Church, coFounded, ReadCoor]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: ReadCoor Context triple: [George Church, coFounded, ReadCoor]
-
A.
Read
Read is a village in Lancashire, England, situated near the River Calder and known for its residential community and local amenities.
-
B.
Read
Read is a surname shared by various notable individuals across fields such as politics, arts, and academia.
-
C.
Lectoure
Lectoure is a historic town in southwestern France, in the Gers department of the Occitanie region, known for its medieval architecture and hilltop setting.
-
D.
Square Reader
Square Reader is a small mobile card reader that lets businesses accept credit and debit card payments through a smartphone or tablet.
-
E.
Reading Division
Reading Division is a regional division of the United States District Court for the Eastern District of Pennsylvania that handles federal cases arising from the Reading, Pennsylvania area and surrounding counties.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: ReadCoor Triple: [George Church, coFounded, ReadCoor]
Generated description
ReadCoor is a biotechnology company specializing in advanced spatial genomics and in situ sequencing technologies for high-resolution mapping of biological tissues.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: ReadCoor Target entity description: ReadCoor is a biotechnology company specializing in advanced spatial genomics and in situ sequencing technologies for high-resolution mapping of biological tissues.
-
A.
Read
Read is a village in Lancashire, England, situated near the River Calder and known for its residential community and local amenities.
-
B.
Read
Read is a surname shared by various notable individuals across fields such as politics, arts, and academia.
-
C.
Lectoure
Lectoure is a historic town in southwestern France, in the Gers department of the Occitanie region, known for its medieval architecture and hilltop setting.
-
D.
Square Reader
Square Reader is a small mobile card reader that lets businesses accept credit and debit card payments through a smartphone or tablet.
-
E.
Reading Division
Reading Division is a regional division of the United States District Court for the Eastern District of Pennsylvania that handles federal cases arising from the Reading, Pennsylvania area and surrounding counties.
- F. None of above. chosen
Provenance (5 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69c68a5e2c9081909e713ce866e0060a |
completed | March 27, 2026, 1:47 p.m. |
| NER | Named-entity recognition | batch_69c6f224790c819099ceb7c7ac8d00f6 |
completed | March 27, 2026, 9:09 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c810f82ba08190919924b0994a2eee |
completed | March 28, 2026, 5:33 p.m. |
| NEDg | Description generation | batch_69c811f1fe3c8190a591186b19044b5f |
completed | March 28, 2026, 5:37 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69c812c1e9d08190b0e7f052d87011b9 |
completed | March 28, 2026, 5:41 p.m. |
Created at: March 27, 2026, 3:09 p.m.