Triple
T9357183
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tom Mix and Pancho Villa |
E225169
|
entity |
| Predicate | hasTitleCharacter |
P5716
|
FINISHED |
| Object | Tom Mix |
E745706
|
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: Tom Mix | Statement: [Tom Mix and Pancho Villa, hasTitleCharacter, Tom Mix]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tom Mix Context triple: [Tom Mix and Pancho Villa, hasTitleCharacter, Tom Mix]
-
A.
Tom Mix
chosen
Tom Mix was a legendary American silent film cowboy star and one of early Hollywood’s most famous Western actors.
-
B.
Tommy DeBarge
Tommy DeBarge was an American musician best known as a bassist and member of the Motown family band Switch.
-
C.
Tommy Sands
Tommy Sands is an American pop and rock-and-roll singer and actor who rose to fame in the late 1950s and early 1960s.
-
D.
Jimmy Little
Jimmy Little was a pioneering Australian Aboriginal country music singer, songwriter, and actor who became one of the nation’s most beloved and influential Indigenous entertainers.
-
E.
Tom Bell
Tom Bell was an American football official best known for serving as the referee in Super Bowl III.
- 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_69ca842abfd48190949d71c3b86eeba8 |
completed | March 30, 2026, 2:09 p.m. |
| NER | Named-entity recognition | batch_69cd4ff06608819086e9f11789beaf22 |
completed | April 1, 2026, 5:03 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d10788d86481908764201548f0dbdf |
completed | April 4, 2026, 12:43 p.m. |
Created at: March 30, 2026, 7:42 p.m.