Triple
T16236859
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Baird Whitlock |
E394136
|
entity |
| Predicate | createdFor |
P7551
|
FINISHED |
| Object | Hail, Caesar! (2016 film) |
E82131
|
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: Hail, Caesar! (2016 film) | Statement: [Baird Whitlock, createdFor, Hail, Caesar! (2016 film)]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hail, Caesar! (2016 film) Context triple: [Baird Whitlock, createdFor, Hail, Caesar! (2016 film)]
-
A.
Hail, Caesar!
chosen
Hail, Caesar! is a 2016 satirical comedy film by the Coen brothers that follows a Hollywood fixer dealing with a kidnapped movie star in 1950s Los Angeles.
-
B.
Hail Caesar
"Hail Caesar" is a song by the Australian hard rock band AC/DC, featured on their 1995 album "Ballbreaker."
-
C.
The Disaster Artist
The Disaster Artist is a 2017 biographical comedy-drama film directed by and starring James Franco that chronicles the making of Tommy Wiseau’s cult movie The Room.
-
D.
War Dogs
War Dogs is a 2016 dark comedy crime film about two young arms dealers exploiting U.S. military contracts, starring Jonah Hill and Miles Teller and directed by Todd Phillips.
-
E.
War Dogs
War Dogs are the covert intelligence and espionage network of Wakanda in the Marvel universe, operating globally to gather information and influence events from the shadows.
- 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_69d87f204df88190a8f88923decf9835 |
completed | April 10, 2026, 4:40 a.m. |
| NER | Named-entity recognition | batch_69e2455bb23881909c4cb4c1439d2bc5 |
completed | April 17, 2026, 2:36 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a001f8ae4288190b59e4af3e3d95000 |
completed | May 10, 2026, 6:02 a.m. |
Created at: April 10, 2026, 5:04 a.m.