Triple
T1447545
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Zappos |
E31209
|
entity |
| Predicate | roleOfTonyHsieh |
P6143
|
FINISHED |
| Object | former CEO |
—
|
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: former CEO | Statement: [Zappos, roleOfTonyHsieh, former CEO]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: roleOfTonyHsieh Context triple: [Zappos, roleOfTonyHsieh, former CEO]
-
A.
founderRole
Indicates that an entity serves as a founder in relation to another entity, specifying the role or capacity in which they established it.
-
B.
worksForCompanyFoundedBy
Indicates that a person is employed by a company that was founded by a specified individual.
-
C.
foundingRole
Indicates the specific role or capacity an entity held in the founding or establishment of another entity.
-
D.
cofounderOf
Indicates that a person jointly established or created an organization, company, or project with one or more other founders.
-
E.
formerCEO
chosen
Indicates that one entity previously held, but no longer holds, the position of chief executive officer of the other 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_69a499171a28819085b993a3ac78e363 |
completed | March 1, 2026, 7:52 p.m. |
| NER | Named-entity recognition | batch_69a4c55aa7dc8190aa7452d80ec8305e |
completed | March 1, 2026, 11:01 p.m. |
| PD | Predicate disambiguation | batch_69a4c47a840c819083307a65c027a19e |
completed | March 1, 2026, 10:58 p.m. |
Created at: March 1, 2026, 8 p.m.