Triple
T9199954
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dan Gilroy |
E220811
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | Nightcrawler |
E215580
|
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: Nightcrawler | Statement: [Dan Gilroy, notableWork, Nightcrawler]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Nightcrawler Context triple: [Dan Gilroy, notableWork, Nightcrawler]
-
A.
Nightcrawler
chosen
Nightcrawler is a 2014 neo-noir thriller film starring Jake Gyllenhaal as an amoral crime videographer prowling Los Angeles for sensational footage.
-
B.
Nightcrawler
Nightcrawler is a blue-skinned, teleporting mutant superhero from Marvel's X-Men, known for his acrobatic skills, prehensile tail, and strong Catholic faith.
-
C.
Bad Lieutenant
Bad Lieutenant is a 1992 neo-noir crime drama film directed by Abel Ferrara, known for its gritty portrayal of a corrupt, self-destructive New York City police officer.
-
D.
Il Malo
Il Malo is the Italian nickname meaning "the Bad" given to William I of Sicily, a 12th-century Norman king known for his unpopular rule and internal strife in the kingdom.
-
E.
San Sicario
San Sicario is an Italian alpine village and ski resort in the Susa Valley, known for its winter sports facilities and role as a venue during the 2006 Turin Winter Olympics.
- 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_69ca83e8e9248190862cf3e41693b310 |
completed | March 30, 2026, 2:08 p.m. |
| NER | Named-entity recognition | batch_69ccd881c5d48190bbc33fac71a1d849 |
completed | April 1, 2026, 8:34 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d077808ee48190be6b58a4b38f3e3d |
completed | April 4, 2026, 2:29 a.m. |
Created at: March 30, 2026, 7:25 p.m.