Triple
T12224971
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Sword of Ali Baba |
E291324
|
entity |
| Predicate | castMember |
P1668
|
FINISHED |
| Object | Byron Foulger |
E822295
|
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: Byron Foulger | Statement: [The Sword of Ali Baba, castMember, Byron Foulger]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Byron Foulger Context triple: [The Sword of Ali Baba, castMember, Byron Foulger]
-
A.
Byron Foulger
chosen
Byron Foulger was an American character actor known for his prolific appearances in film and television from the 1930s through the 1960s, often portraying mild-mannered or eccentric supporting roles.
-
B.
Rodney Harrison
Rodney Harrison is a former NFL safety best known for his hard-hitting play with the San Diego Chargers and New England Patriots and later work as a football analyst on NBC.
-
C.
Howie Long
Howie Long is a former NFL Hall of Fame defensive end who became a prominent football analyst and television personality.
-
D.
Champ Bailey
Champ Bailey is a Pro Football Hall of Fame cornerback widely regarded as one of the greatest defensive backs in NFL history.
-
E.
Buck Sanders
Buck Sanders is an American film composer best known for his Academy Award–nominated work on the war thriller "The Hurt Locker."
- 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_69d6ab668acc8190963ba424049d6aee |
completed | April 8, 2026, 7:24 p.m. |
| NER | Named-entity recognition | batch_69d91ca11f788190bad2efb6c83ffccb |
completed | April 10, 2026, 3:52 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f61e5c1c988190a80917dfe782a6b6 |
completed | May 2, 2026, 3:55 p.m. |
Created at: April 8, 2026, 9:51 p.m.