Triple
T17171673
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Annaleigh Ashford |
E416748
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | B Positive |
E788743
|
NE FINISHED |
How this triple was built (2 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: [Annaleigh Ashford, notableWork, B Positive]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: B Positive Context triple: [Annaleigh Ashford, notableWork, B Positive]
-
A.
B Positive
chosen
B Positive is an American sitcom that follows an unlikely friendship between a therapist in need of a kidney transplant and his eccentric donor.
-
B.
Positif
Positif is a renowned French film magazine known for its in-depth criticism, auteur-focused analysis, and influential role in international cinephile culture.
-
C.
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.
-
D.
B
B is the vehicle registration code used on license plates for Berlin, Germany.
-
E.
B
B is an early systems programming language developed at Bell Labs that served as a direct precursor to the C programming language.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69d886d5f34c8190b24564dfaa63f3fb |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3fc0ac22481909e992bb3a6ba36ad |
completed | April 18, 2026, 9:47 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0148415c788190a4248b097f323d03 |
completed | May 11, 2026, 3:08 a.m. |
Created at: April 10, 2026, 5:37 a.m.