Triple
T24944131
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Baby-Faced Assassin |
E624138
|
entity |
| Predicate | bearerProfessionalStatus |
P19008
|
FINISHED |
| Object | retired boxer |
—
|
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: retired boxer | Statement: [The Baby-Faced Assassin, bearerProfessionalStatus, retired boxer]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: bearerProfessionalStatus Context triple: [The Baby-Faced Assassin, bearerProfessionalStatus, retired boxer]
-
A.
hasProfessionalStatus
chosen
Indicates that an entity holds a particular professional standing, rank, or qualification within a field or occupation.
-
B.
hasProfessionalStatusRequirement
Indicates that something is subject to a condition specifying a particular professional status that must be held or met.
-
C.
hasProfessionalStandard
Indicates that an entity is subject to, or operates according to, an established professional norm, guideline, or code of practice.
-
D.
isAssociatedWithProfessionOfBearer
Indicates that one entity is connected to, or involved with, the profession or occupational role held by another entity.
-
E.
professionalStatusRestriction
Indicates a limitation or condition placed on someone’s professional role, eligibility, or activities.
- 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_69e2ff22e4c48190a0444b5a044f14e8 |
completed | April 18, 2026, 3:48 a.m. |
| NER | Named-entity recognition | batch_69f5f6baf2d48190a6a4cd6501be87d2 |
completed | May 2, 2026, 1:06 p.m. |
| PD | Predicate disambiguation | batch_69f5afd5baac8190bb8ed576813c8591 |
completed | May 2, 2026, 8:03 a.m. |
Created at: April 18, 2026, 5:53 a.m.