Triple
T14460583
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | El Wray |
E358571
|
entity |
| Predicate | appearsAlongside |
P25756
|
FINISHED |
| Object | Earl McGraw |
E1100865
|
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: Earl McGraw | Statement: [El Wray, appearsAlongside, Earl McGraw]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Earl McGraw Context triple: [El Wray, appearsAlongside, Earl McGraw]
-
A.
Earl McGraw
chosen
Earl McGraw is a recurring, hard-bitten Texas lawman character who appears across multiple Quentin Tarantino and Robert Rodriguez films, often providing darkly comic commentary amid violent, pulpy storylines.
-
B.
Sam Sharkey
Sam Sharkey is a character associated with the American folklore surrounding the legendary lumberjack Paul Bunyan.
-
C.
Johnny Harris
Johnny Harris is a British actor known for his intense, gritty performances in film and television dramas.
-
D.
Lou Frizzell
Lou Frizzell was an American character actor and voice actor known for his supporting roles in film and television during the mid-20th century.
-
E.
Trummy Young
Trummy Young was an American jazz trombonist and singer best known for his work with Louis Armstrong and other leading swing-era bands.
- 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_69d82794dfa081909b9134ad2e32244b |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de91abc1008190a19de4f8f0112c9d |
completed | April 14, 2026, 7:12 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd6d890be88190afe61dde0d1e75a8 |
completed | May 8, 2026, 4:58 a.m. |
Created at: April 10, 2026, 1:19 a.m.