Triple
T10547998
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Desi Arnaz Jr. |
E248871
|
entity |
| Predicate | performedIn |
P795
|
FINISHED |
| Object | Billy Two Hats |
E870113
|
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: Billy Two Hats | Statement: [Desi Arnaz Jr., performedIn, Billy Two Hats]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Billy Two Hats Context triple: [Desi Arnaz Jr., performedIn, Billy Two Hats]
-
A.
Billy Two Hats
chosen
"Billy Two Hats" is a 1974 Western film starring Desi Arnaz Jr. and Gregory Peck, centered on a half-Scottish, half-Native American outlaw in the American frontier.
-
B.
Huggy Bear
Huggy Bear is a streetwise, well-connected informant and bar owner who serves as a key ally to the titular detectives in the television series "Starsky & Hutch."
-
C.
Happy Hinds
Happy Hinds is the child of American R&B and soul singer-songwriter Macy Gray.
-
D.
Hazy Davy
Hazy Davy is a wild, free-spirited character from Bruce Springsteen’s song “Spirit in the Night,” known for his reckless energy and surreal nighttime adventures.
-
E.
Billy Lush
Billy Lush is an American actor best known for his role as Lance Cpl. Harold James Trombley in the HBO miniseries "Generation Kill."
- 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_69d381c733c08190ab1dd6239f5f34ae |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d526d305d081909b48d244e1cfa092 |
completed | April 7, 2026, 3:46 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d94b3148dc81908720c27e58a325ab |
completed | April 10, 2026, 7:10 p.m. |
Created at: April 6, 2026, 12:33 p.m.