Triple
T4853903
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bobby Murphy |
E108486
|
entity |
| Predicate | roleAtCompany |
P43130
|
FINISHED |
| Object | technical leadership at Snap Inc. |
—
|
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: technical leadership at Snap Inc. | Statement: [Bobby Murphy, roleAtCompany, technical leadership at Snap Inc.]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: roleAtCompany Context triple: [Bobby Murphy, roleAtCompany, technical leadership at Snap Inc.]
-
A.
roleInCompanyHistory
Indicates that an entity held a specific role or position during a particular period or event in a company's history.
-
B.
employedRole
Indicates that an entity holds or performs a specific role or position within an employment or work context.
-
C.
underlyingCompanyRole
chosen
Indicates the specific function, position, or responsibility an entity holds within or in relation to a company.
-
D.
roleInIndustry
Indicates the specific function, position, or capacity an entity holds within a particular industry or sector.
-
E.
belongsToCompany
Indicates that an entity is owned, employed, or otherwise formally associated with a specific company.
- 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_69bd440a89548190a5f14ba6da6b97dc |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd6ddd17d881909f7731ff2b460e83 |
completed | March 20, 2026, 3:55 p.m. |
| PD | Predicate disambiguation | batch_69bd6c2557388190a2d15571bacd24f3 |
completed | March 20, 2026, 3:47 p.m. |
Created at: March 20, 2026, 1:26 p.m.