Triple
T2738263
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Greg Peters |
E60683
|
entity |
| Predicate | appointedCoCEOOf |
P8553
|
FINISHED |
| Object | Netflix in January 2023 |
—
|
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: Netflix in January 2023 | Statement: [Greg Peters, appointedCoCEOOf, Netflix in January 2023]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: appointedCoCEOOf Context triple: [Greg Peters, appointedCoCEOOf, Netflix in January 2023]
-
A.
previousCoCEOWith
Indicates that two entities previously served together as co-chief executive officers of the same organization.
-
B.
appointedAs
chosen
Indicates that one entity is formally assigned or designated to hold a specific role, position, or title in relation to another entity.
-
C.
coChairpersonOf
Indicates that a person serves jointly with one or more others as the chairperson of a group, organization, or committee.
-
D.
coFounderWith
Indicates that two or more entities jointly founded the same organization or venture.
-
E.
hasCoChairFrom
Indicates that an entity has a co-chair whose affiliation or origin is from a specified source, organization, or group.
- 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_69ab4b77febc819095603eb012cd141b |
completed | March 6, 2026, 9:47 p.m. |
| NER | Named-entity recognition | batch_69abdb147a588190829b74fe05b3a114 |
completed | March 7, 2026, 8 a.m. |
| PD | Predicate disambiguation | batch_69abd82859348190bce3be8f2e9d60ba |
completed | March 7, 2026, 7:47 a.m. |
Created at: March 6, 2026, 9:56 p.m.