Triple
T2714710
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 2012 Triple Crown (Miguel Cabrera) |
E59940
|
entity |
| Predicate | playerAge |
P2042
|
FINISHED |
| Object | 29 |
—
|
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: 29 | Statement: [2012 Triple Crown (Miguel Cabrera), playerAge, 29]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: playerAge Context triple: [2012 Triple Crown (Miguel Cabrera), playerAge, 29]
-
A.
featuredPlayerAge
Indicates the age of the player who is designated as the featured or highlighted participant in a given context.
-
B.
ageRange
Indicates the span of ages within which an entity or relationship is considered valid or applicable.
-
C.
protagonistAge
Indicates the age of the main character or central figure in a narrative or scenario.
-
D.
hasAge
chosen
Indicates that an entity possesses a specific age value, typically expressed as a number of time units since its birth or creation.
-
E.
youthYears
Indicates the period of time during which an individual spent their youth, typically associated with early development or formative years, often in relation to an organization, activity, or place.
- 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_69ab4ac92a088190bc74bca14038e3de |
completed | March 6, 2026, 9:44 p.m. |
| NER | Named-entity recognition | batch_69abda93a2388190b55a1c821ef6bc64 |
completed | March 7, 2026, 7:58 a.m. |
| PD | Predicate disambiguation | batch_69abd8240920819087a812d816a55edb |
completed | March 7, 2026, 7:47 a.m. |
Created at: March 6, 2026, 9:55 p.m.