Triple
T24766273
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pac-Man |
E619590
|
entity |
| Predicate | nicknameOfOccupation |
P157295
|
FINISHED |
| Object | professional 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: professional boxer | Statement: [Pac-Man, nicknameOfOccupation, professional boxer]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: nicknameOfOccupation Context triple: [Pac-Man, nicknameOfOccupation, professional boxer]
-
A.
occupationalNameFor
Indicates that one entity is the name or label used to denote the occupation or profession of another entity.
-
B.
aliasOfOccupation
Indicates that one occupation term is an alternative name or alias for another occupation.
-
C.
associatedNicknameOfWork
Indicates that a given nickname or informal title is commonly used to refer to a particular work.
-
D.
praenomenOfOccupation
Indicates that a given praenomen (personal first name) is used as or associated with a particular occupation.
-
E.
natureOfOccupation
Indicates the type or character of a person's occupation, describing what kind of work or role it is rather than who performs it.
- F. None of above. chosen
Provenance (4 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_69e2fabbea94819092ed41348909622f |
completed | April 18, 2026, 3:30 a.m. |
| NER | Named-entity recognition | batch_69f42d9000b8819081ea2605f3c193d6 |
completed | May 1, 2026, 4:35 a.m. |
| PD | Predicate disambiguation | batch_69f420f471a0819095a6cd24ed8f7476 |
completed | May 1, 2026, 3:41 a.m. |
| PDg | Predicate description generation | batch_69f42b11251881908070b93355de64ad |
completed | May 1, 2026, 4:24 a.m. |
Created at: April 18, 2026, 4:28 a.m.