Triple
T9268447
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Thomas Middleditch |
E222759
|
entity |
| Predicate | appearedInTVSeries |
P795
|
FINISHED |
| Object |
B Positive
B Positive is an American sitcom that follows an unlikely friendship between a therapist in need of a kidney transplant and his eccentric donor.
|
E788743
|
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: B Positive | Statement: [Thomas Middleditch, appearedInTVSeries, B Positive]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: B Positive Context triple: [Thomas Middleditch, appearedInTVSeries, B Positive]
-
A.
B
B is the designation of one of the main lines of the Paris RER commuter rail network, serving a major north–south axis through the Île-de-France region.
-
B.
B
B is the vehicle registration code used on license plates for Berlin, Germany.
-
C.
B
B is an early systems programming language developed at Bell Labs that served as a direct precursor to the C programming language.
-
D.
B
B is a New York City Subway service that runs on the IND Sixth Avenue Line, providing local and express service through Manhattan and Brooklyn.
-
E.
Ba
Ba is a town and district on the northwestern coast of Viti Levu in Fiji, known for its sugar industry and cultural diversity.
- 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: B Positive Triple: [Thomas Middleditch, appearedInTVSeries, B Positive]
Generated description
B Positive is an American sitcom that follows an unlikely friendship between a therapist in need of a kidney transplant and his eccentric donor.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: B Positive Target entity description: B Positive is an American sitcom that follows an unlikely friendship between a therapist in need of a kidney transplant and his eccentric donor.
-
A.
B
B is the designation of one of the main lines of the Paris RER commuter rail network, serving a major north–south axis through the Île-de-France region.
-
B.
B
B is the vehicle registration code used on license plates for Berlin, Germany.
-
C.
B
B is an early systems programming language developed at Bell Labs that served as a direct precursor to the C programming language.
-
D.
B
B is a New York City Subway service that runs on the IND Sixth Avenue Line, providing local and express service through Manhattan and Brooklyn.
-
E.
Ba
Ba is a town and district on the northwestern coast of Viti Levu in Fiji, known for its sugar industry and cultural diversity.
- 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_69ca841f2e808190a64f4c31903a1332 |
completed | March 30, 2026, 2:09 p.m. |
| NER | Named-entity recognition | batch_69cd074d2d0081909f9f8db04547358e |
completed | April 1, 2026, 11:53 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d09c2239a08190b954c8c57ced8fd2 |
completed | April 4, 2026, 5:05 a.m. |
| NEDg | Description generation | batch_69d09cf11e488190b61f4a61002454e6 |
completed | April 4, 2026, 5:09 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69d09e2450048190b5aa31507e54d6c8 |
completed | April 4, 2026, 5:14 a.m. |
Created at: March 30, 2026, 7:33 p.m.