Triple
T23684545
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gamebred |
E585126
|
entity |
| Predicate | bearerWalkoutIdentity |
P153374
|
FINISHED |
| Object | Gamebred |
—
|
NE NERFINISHED |
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: Gamebred | Statement: [Gamebred, bearerWalkoutIdentity, Gamebred]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: bearerWalkoutIdentity Context triple: [Gamebred, bearerWalkoutIdentity, Gamebred]
-
A.
bearerRetired
Indicates that the entity serving as the bearer of something has ceased or ended its active role or service, typically due to retirement.
-
B.
bearerByname
Indicates that an entity is known or referred to by a particular byname or secondary name.
-
C.
bearerFounded
Indicates that the bearer (such as a person or organization) is the one who established or created the associated entity (such as a company, institution, or project).
-
D.
bearerAlignedWith
Indicates that the bearer’s position, orientation, or stance is arranged in line with, or matches, that of another specified reference.
-
E.
bearerAwardAssociation
Indicates a relationship in which an entity serves as the holder or recipient associated with a particular award.
- 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_69e249037ce0819088b149608e98f685 |
completed | April 17, 2026, 2:51 p.m. |
| NER | Named-entity recognition | batch_69f1b4fb26c88190a6776e4dfd10d54c |
completed | April 29, 2026, 7:36 a.m. |
| PD | Predicate disambiguation | batch_69f155d5265881908e43a9696b6a6d0f |
completed | April 29, 2026, 12:50 a.m. |
| PDg | Predicate description generation | batch_69f157cc43a881909ed2d8b0a09b5d73 |
completed | April 29, 2026, 12:58 a.m. |
Created at: April 17, 2026, 6:52 p.m.