Triple
T6457127
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Darren Star |
E142020
|
entity |
| Predicate | creatorOf |
P806
|
FINISHED |
| Object | Miss Match |
E594866
|
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: Miss Match | Statement: [Darren Star, creatorOf, Miss Match]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Miss Match Context triple: [Darren Star, creatorOf, Miss Match]
-
A.
Miss Match
chosen
Miss Match is an early-2000s American romantic comedy-drama television series about a high-powered divorce lawyer who moonlights as a matchmaker.
-
B.
The Perfect Match
The Perfect Match is a romantic comedy film produced by Flavor Unit Entertainment that follows a commitment-phobic bachelor whose views on love are challenged by an unexpected relationship.
-
C.
Miss Melody
"Miss Melody" is a hip-hop-influenced violin track by The Hip-Hop Violinist that blends classical string performance with contemporary urban beats.
-
D.
Miss
Miss is a traditional English honorific used before the surname or full name of an unmarried or younger woman.
-
E.
Miss Bianca
Miss Bianca is a sophisticated and brave white mouse who serves as one of the heroic rescuers in Disney’s animated adventure "The Rescuers."
- 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_69c008d2f91c8190a8178767a35e08fc |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c069d639ec8190bb0a806da4118440 |
completed | March 22, 2026, 10:14 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c65394d8b481909868faf79f3d2383 |
completed | March 27, 2026, 9:53 a.m. |
Created at: March 22, 2026, 4:48 p.m.