Triple
T16162505
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | All I Ask of You |
E392211
|
entity |
| Predicate | notablePerformer |
P17435
|
FINISHED |
| Object | Steve Barton |
E1114014
|
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: Steve Barton | Statement: [All I Ask of You, notablePerformer, Steve Barton]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Steve Barton Context triple: [All I Ask of You, notablePerformer, Steve Barton]
-
A.
Steve Barton
chosen
Steve Barton was an American actor and singer best known for his leading roles in major stage musicals, including originating Raoul in the Vienna production of "The Phantom of the Opera."
-
B.
Mike Barnes
Mike Barnes is the aggressive karate fighter hired to defeat Daniel LaRusso in the film "The Karate Kid Part III."
-
C.
Paul Westphal
Paul Westphal was an American Hall of Fame basketball player and coach best known as an All-Star guard for the Phoenix Suns in the 1970s.
-
D.
Mitch Richmond
Mitch Richmond is a Hall of Fame shooting guard best known for his prolific scoring and six consecutive All-Star appearances in the 1990s NBA.
-
E.
Forest Baskett
Forest Baskett is an American computer scientist and venture capitalist known for his influential work in computer architecture and his role as a general partner at New Enterprise Associates (NEA).
- 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_69d87f1d32208190942e4e499a80c18c |
completed | April 10, 2026, 4:39 a.m. |
| NER | Named-entity recognition | batch_69e21e5ffba88190b9dc7bb9afb6fdf2 |
completed | April 17, 2026, 11:49 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fff7b33f3481909fe856b8be7d9bcd |
completed | May 10, 2026, 3:12 a.m. |
Created at: April 10, 2026, 5:02 a.m.