Triple
T19999696
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Honey |
E494283
|
entity |
| Predicate | associatedWithCharacter |
P1481
|
FINISHED |
| Object | Nick |
—
|
NE NERFINISHED |
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: Nick | Statement: [Honey, associatedWithCharacter, Nick]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Nick Context triple: [Honey, associatedWithCharacter, Nick]
-
A.
Nick
Nick is the NATO reporting name for the Japanese World War II twin-engine heavy fighter aircraft Kawasaki Ki-45.
-
B.
Nick
chosen
Nick is a key character in Margaret Atwood’s dystopian novel *The Handmaid’s Tale*, serving as a Guardian and Offred’s secret lover and potential ally within the oppressive regime of Gilead.
-
C.
Nick
Nick is one of the central characters in Edward Albee’s play "Who’s Afraid of Virginia Woolf?", a young biology professor whose tense interactions with an older couple expose themes of ambition, disillusionment, and marital conflict.
-
D.
Nick
Nick is the central protagonist of the 1987 film "Happy New Year," around whom the story’s main events and character dynamics revolve.
-
E.
Nick
Nick is the given name of English film composer and conductor Nick Glennie-Smith, known for his work on numerous Hollywood soundtracks.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69da626b2d748190886981ea90c8b2ea |
completed | April 11, 2026, 3:02 p.m. |
| NER | Named-entity recognition | batch_69e661a09bdc819083305b08a11c6e34 |
completed | April 20, 2026, 5:25 p.m. |
Created at: April 11, 2026, 3:32 p.m.