Triple
T3146419
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Take-Two Interactive |
E65773
|
entity |
| Predicate | positionHeldByStraussZelnick |
P8
|
FINISHED |
| Object | chief executive officer |
—
|
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: chief executive officer | Statement: [Take-Two Interactive, positionHeldByStraussZelnick, chief executive officer]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: positionHeldByStraussZelnick Context triple: [Take-Two Interactive, positionHeldByStraussZelnick, chief executive officer]
-
A.
positionHeld
chosen
Indicates that an entity occupies or has occupied a specific role, job, office, or position within an organization or context.
-
B.
holdsStakeThrough
Indicates that one entity possesses an ownership interest in another entity indirectly, via an intermediate entity or instrument.
-
C.
lastHolder
Indicates that the subject is the most recent entity to have possessed, owned, or held the object.
-
D.
officeHolderMayBe
Indicates that a specified person is permitted or eligible to hold a particular office or position.
-
E.
isUsuallyHeldBy
Indicates that something is most commonly or typically possessed, carried, or controlled by a particular entity.
- 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_69ad8582f564819088c27e1f96153938 |
completed | March 8, 2026, 2:19 p.m. |
| NER | Named-entity recognition | batch_69ada598ccf08190b8817c456f38f2d7 |
completed | March 8, 2026, 4:36 p.m. |
| PD | Predicate disambiguation | batch_69ad9dfa3d9081908425aa636bb9b897 |
completed | March 8, 2026, 4:04 p.m. |
Created at: March 8, 2026, 3:05 p.m.