Triple
T2547272
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Trigger, Jr. |
E57933
|
entity |
| Predicate | fameLevel |
P27257
|
FINISHED |
| Object | famous palomino horse in American popular culture |
—
|
LITERAL 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: famous palomino horse in American popular culture | Statement: [Trigger, Jr., fameLevel, famous palomino horse in American popular culture]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: fameLevel Context triple: [Trigger, Jr., fameLevel, famous palomino horse in American popular culture]
-
A.
fameStatus
chosen
Indicates the level or state of public recognition or renown associated with an entity.
-
B.
popularName
Indicates that the object is a commonly used or widely recognized name or nickname for the subject.
-
C.
hasNotablePersonAsFace
Indicates that an entity is publicly represented or symbolized by a specific notable person, such as a spokesperson, ambassador, or brand face.
-
D.
popularity
Indicates how widely liked, admired, or favored something or someone is by a group of people.
-
E.
followersKnownAs
Indicates that the followers of an entity are referred to by a particular name or label.
- 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_69ab4a5212d88190b989ce129f2ad87f |
completed | March 6, 2026, 9:42 p.m. |
| NER | Named-entity recognition | batch_69abd2e672948190bb7fe9b47535a172 |
completed | March 7, 2026, 7:25 a.m. |
| PD | Predicate disambiguation | batch_69abd0c63964819092d5f578195ae8dd |
completed | March 7, 2026, 7:16 a.m. |
Created at: March 6, 2026, 9:47 p.m.