Triple
T12091190
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | John Clute |
E287944
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Clute
Clute is a surname most notably associated with John Clute, a prominent Canadian-born science fiction critic and writer.
|
E370671
|
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: Clute | Statement: [John Clute, familyName, Clute]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Clute Context triple: [John Clute, familyName, Clute]
-
A.
Clute, Texas
Clute, Texas is a small city in Brazoria County known for its proximity to the Gulf Coast and inclusion in the Greater Houston metropolitan region.
-
B.
Cotulla
Cotulla is a small city in La Salle County, Texas, known historically as a ranching and oilfield service center in the South Texas region.
-
C.
Navasota, Texas
Navasota, Texas is a small city in Grimes County that serves as a historic railroad and commercial hub within the Greater Houston metropolitan area.
-
D.
Seagoville
Seagoville is a small city in North Texas that functions as a suburban community within the greater Dallas–Fort Worth metropolitan area.
-
E.
Wimberley
Wimberley is a small, scenic town in central Texas known for its picturesque Hill Country landscapes, swimming holes, and artsy, tourist-friendly downtown.
- 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: Clute Triple: [John Clute, familyName, Clute]
Generated description
Clute is a surname most notably associated with John Clute, a prominent Canadian-born science fiction critic and writer.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Clute Target entity description: Clute is a surname most notably associated with John Clute, a prominent Canadian-born science fiction critic and writer.
-
A.
Clute, Texas
chosen
Clute, Texas is a small city in Brazoria County known for its proximity to the Gulf Coast and inclusion in the Greater Houston metropolitan region.
-
B.
Cotulla
Cotulla is a small city in La Salle County, Texas, known historically as a ranching and oilfield service center in the South Texas region.
-
C.
Navasota, Texas
Navasota, Texas is a small city in Grimes County that serves as a historic railroad and commercial hub within the Greater Houston metropolitan area.
-
D.
Seagoville
Seagoville is a small city in North Texas that functions as a suburban community within the greater Dallas–Fort Worth metropolitan area.
-
E.
Wimberley
Wimberley is a small, scenic town in central Texas known for its picturesque Hill Country landscapes, swimming holes, and artsy, tourist-friendly downtown.
- F. None of above.
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_69d6ab4964708190850585628b287b0c |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d9151797988190b0d007ea806bcf02 |
completed | April 10, 2026, 3:19 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f5f66d1b44819091f638d2a621ecde |
completed | May 2, 2026, 1:04 p.m. |
| NEDg | Description generation | batch_69f600b51f488190a85a8f10f190b3c0 |
completed | May 2, 2026, 1:48 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f601e7f3b0819098a2245b9f9316b9 |
completed | May 2, 2026, 1:53 p.m. |
Created at: April 8, 2026, 9:48 p.m.