Triple
T2714697
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 2012 Triple Crown (Miguel Cabrera) |
E59940
|
entity |
| Predicate | isFirstForFranchise |
P29367
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [2012 Triple Crown (Miguel Cabrera), isFirstForFranchise, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isFirstForFranchise Context triple: [2012 Triple Crown (Miguel Cabrera), isFirstForFranchise, true]
-
A.
originalFranchiseOf
Indicates that one entity is the source or originating franchise from which another franchise, adaptation, or derivative work is based or derived.
-
B.
firstAppearanceFor
chosen
Indicates that an entity marks the initial occurrence or debut of another entity within a given context or medium.
-
C.
wasFirst
Indicates that one entity occurred, appeared, or held a position before another in time or sequence.
-
D.
originalFranchiseName
Indicates that an entity is associated with the name of the franchise from which it originally comes or to which it originally belongs.
-
E.
isDebutSingleOf
Indicates that a musical single is the first official release by a particular artist or group.
- 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.