Triple
T18344594
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cigar |
E439501
|
entity |
| Predicate | careerDescriptor |
P7222
|
FINISHED |
| Object | champion racehorse |
—
|
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: champion racehorse | Statement: [Cigar, careerDescriptor, champion racehorse]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: careerDescriptor Context triple: [Cigar, careerDescriptor, champion racehorse]
-
A.
describesCareerOf
chosen
Indicates that one entity provides a description or characterization of the professional career of another entity.
-
B.
careerType
Indicates the kind or category of professional occupation or career path associated with an entity.
-
C.
careerField
Indicates the professional domain or occupational area in which an entity works or specializes.
-
D.
occupationAspiration
Indicates a person's desired or intended future occupation or career goal.
-
E.
workDescribes
Indicates that one work (such as a document, artwork, or dataset) provides a description or explanatory account of another work.
- 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_69d8b9175fec8190af865699b4e64d8c |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e514f2c8ec8190b045482846a68204 |
completed | April 19, 2026, 5:46 p.m. |
| PD | Predicate disambiguation | batch_69e44fe91bc08190906518e1b120fcf0 |
completed | April 19, 2026, 3:45 a.m. |
Created at: April 10, 2026, 10:37 a.m.