Triple
T25798417
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jackie’s Nine: Jackie Robinson’s Values to Live By |
E649747
|
entity |
| Predicate | usesFigure |
P58604
|
FINISHED |
| Object | Jackie Robinson as role model |
—
|
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: Jackie Robinson as role model | Statement: [Jackie’s Nine: Jackie Robinson’s Values to Live By, usesFigure, Jackie Robinson as role model]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: usesFigure Context triple: [Jackie’s Nine: Jackie Robinson’s Values to Live By, usesFigure, Jackie Robinson as role model]
-
A.
featuresFigureOf
Indicates that one entity includes or presents another entity as a figure, illustration, or visual element.
-
B.
publicFigure
Indicates that an entity is widely recognized by the public and holds a prominent or influential role in society, such as in politics, entertainment, or media.
-
C.
trainedFigure
Indicates that one entity has been trained, coached, or otherwise prepared by another entity.
-
D.
discussesFigure
chosen
Indicates that one entity engages in discussion or analysis specifically about a particular figure (such as a person, character, or notable individual).
-
E.
includesFiguresFrom
Indicates that one entity contains or incorporates figures that originate from or are part of another entity.
- 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_69e7ab34f8c8819099f6c4dabdabf129 |
completed | April 21, 2026, 4:52 p.m. |
| NER | Named-entity recognition | batch_69f60c3b09488190ade1b69ff7f0df0e |
completed | May 2, 2026, 2:37 p.m. |
| PD | Predicate disambiguation | batch_69f60b8461ac81908c5bd3d73eed59f4 |
completed | May 2, 2026, 2:34 p.m. |
Created at: April 22, 2026, 6:34 a.m.