Triple
T38449757
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Trailin' Trouble |
E912137
|
entity |
| Predicate | hasStarPersona |
P61233
|
FINISHED |
| Object | cowboy star Ken Maynard |
—
|
NE NERFINISHED |
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: cowboy star Ken Maynard | Statement: [The Trailin' Trouble, hasStarPersona, cowboy star Ken Maynard]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasStarPersona Context triple: [The Trailin' Trouble, hasStarPersona, cowboy star Ken Maynard]
-
A.
hasStarOn
Indicates that one entity bears or displays a star symbol positioned on another entity.
-
B.
hasPersona
chosen
Indicates that an entity possesses or is associated with a particular persona, role, or character profile.
-
C.
hasStars
Indicates that an entity possesses or is associated with one or more stars.
-
D.
hasStarGuard
Indicates that an entity is protected or overseen by a designated star-related guardian or protective force.
-
E.
hasBrightStar
Indicates that one entity possesses, contains, or is associated with a star characterized by high brightness.
- F. None of above.
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_69f76e84e2dc81908badf05b3aafa9ea |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_6a00b7fb90f881908f73edf2be8cc3a5 |
completed | May 10, 2026, 4:53 p.m. |
| PD | Predicate disambiguation | batch_6a00b75593d08190b3e76191cd79cdec |
completed | May 10, 2026, 4:50 p.m. |
Created at: May 3, 2026, 4:31 p.m.