Triple
T36988321
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cupid |
E915024
|
entity |
| Predicate | careerRoleAfterRacing |
P152708
|
FINISHED |
| Object | breeding stallion |
—
|
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: breeding stallion | Statement: [Cupid, careerRoleAfterRacing, breeding stallion]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: careerRoleAfterRacing Context triple: [Cupid, careerRoleAfterRacing, breeding stallion]
-
A.
roleAfterRacing
chosen
Indicates the role or position an entity assumes after participating in a racing event.
-
B.
professionAfterGolf
Indicates that one entity’s profession or career role occurs after a period in which they were involved in golf (e.g., as a player, coach, or professional).
-
C.
retiredFromRacing
Indicates that an entity has permanently stopped participating in competitive racing activities.
-
D.
motorsportRole
Indicates the specific function or position an entity holds within the context of motorsport activities or events.
-
E.
primaryUseAfterRacing
Indicates the main purpose or role something serves once its racing-related use has ended.
- 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_69f76e8dd0408190b8b46da118ea5128 |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_69fb55de3b9c8190a7656aeab3c3ffbc |
completed | May 6, 2026, 2:53 p.m. |
| PD | Predicate disambiguation | batch_69fb35bc92e08190bff447624e2df791 |
completed | May 6, 2026, 12:36 p.m. |
Created at: May 3, 2026, 4:14 p.m.