Triple
T17171161
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jerry Mitchell |
E416735
|
entity |
| Predicate | knownFor |
P22
|
FINISHED |
| Object | Hairspray |
E90106
|
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: Hairspray | Statement: [Jerry Mitchell, knownFor, Hairspray]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hairspray Context triple: [Jerry Mitchell, knownFor, Hairspray]
-
A.
Hairspray
chosen
Hairspray is a popular musical film and stage production set in 1960s Baltimore that follows a teenager’s fight against racial segregation through a local TV dance show.
-
B.
Hairspray Live!
Hairspray Live! is a televised musical production that adapts the Broadway show and film "Hairspray" into a live, star-studded NBC event.
-
C.
Hairspray Queen
"Hairspray Queen" is a song by Nirvana, featured on their 1992 compilation album *Incesticide*.
-
D.
Kinky Boots
Kinky Boots is a Tony Award–winning Broadway musical, with music by Cyndi Lauper and a book by Harvey Fierstein, about a struggling shoe factory that reinvents itself by producing flamboyant boots for drag performers.
-
E.
Tootsie
Tootsie is a 1982 American comedy film in which Dustin Hoffman plays an out-of-work actor who disguises himself as a woman to land a role, leading to unexpected fame and complications.
- 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_69e3fc097950819095631ee5679e03af |
completed | April 18, 2026, 9:47 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a016745f32c81909499f71920e8babe |
completed | May 11, 2026, 5:21 a.m. |
Created at: April 10, 2026, 5:37 a.m.