Triple
T7416956
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Golic and Wingo |
E171152
|
entity |
| Predicate | hasContributor |
P4244
|
FINISHED |
| Object | Tim Legler |
E238318
|
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: Tim Legler | Statement: [Golic and Wingo, hasContributor, Tim Legler]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tim Legler Context triple: [Golic and Wingo, hasContributor, Tim Legler]
-
A.
Tim Legler
chosen
Tim Legler is a former NBA shooting guard and current basketball analyst best known for his sharpshooting and work on ESPN.
-
B.
Charlie Korsmo
Charlie Korsmo is an American former child actor and current law professor best known for his roles in early 1990s films such as "Dick Tracy," "Hook," and "What About Bob?".
-
C.
Duane Schuler
Duane Schuler is an American theatrical lighting designer known for his work in opera, including major productions at leading opera houses.
-
D.
Brian Tichy
Brian Tichy is an American rock drummer and multi-instrumentalist best known for his work with bands like Whitesnake, Foreigner, and Billy Idol.
-
E.
Tom Leppert
Tom Leppert is an American businessman and politician who served as the mayor of Dallas, Texas, and later ran for the U.S. Senate.
- 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_69c68a618bdc81908d8018edadecd1a4 |
completed | March 27, 2026, 1:47 p.m. |
| NER | Named-entity recognition | batch_69c6f2c7ae0c8190a8348d6223aeeecc |
completed | March 27, 2026, 9:12 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c8a201e73081908cbe64f351e36f77 |
completed | March 29, 2026, 3:52 a.m. |
Created at: March 27, 2026, 3:11 p.m.