Triple
T7958064
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kid Gavilán |
E184790
|
entity |
| Predicate | debutInProfession |
P60224
|
FINISHED |
| Object | professional boxing in the 1940s |
—
|
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: professional boxing in the 1940s | Statement: [Kid Gavilán, debutInProfession, professional boxing in the 1940s]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: debutInProfession Context triple: [Kid Gavilán, debutInProfession, professional boxing in the 1940s]
-
A.
madeProfessionalDebutIn
chosen
Indicates the time or event in which an individual first performed or appeared in a professional capacity within a given field or organization.
-
B.
debutWork
Indicates the work (such as a book, film, album, or performance) that marks an entity’s first public or professional appearance in a given field.
-
C.
debutedWith
Indicates that an entity made its first public appearance, release, or introduction in association with another specified entity.
-
D.
debutYear
Indicates the year in which an entity first appeared, was introduced, or made its initial public debut.
-
E.
debutLanguage
Indicates the language in which something (such as a work, performance, or product) was first released or presented to the public.
- 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_69ca8293a2388190aace944d7ed9c0c0 |
completed | March 30, 2026, 2:02 p.m. |
| NER | Named-entity recognition | batch_69cb3b7ebb24819094bc011d51ef63fb |
completed | March 31, 2026, 3:11 a.m. |
| PD | Predicate disambiguation | batch_69cb0473d7dc8190a25d0cf460b9fcbe |
completed | March 30, 2026, 11:17 p.m. |
Created at: March 30, 2026, 5:11 p.m.