Triple
T1805755
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mellody Hobson |
E40214
|
entity |
| Predicate | boardTenureStart |
P18957
|
FINISHED |
| Object | Starbucks chairmanship 2021 |
—
|
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: Starbucks chairmanship 2021 | Statement: [Mellody Hobson, boardTenureStart, Starbucks chairmanship 2021]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: boardTenureStart Context triple: [Mellody Hobson, boardTenureStart, Starbucks chairmanship 2021]
-
A.
teamTenure
Indicates the duration or length of time an entity has been part of a particular team.
-
B.
officeHolderStartTime
Indicates the date and time at which an individual begins holding a particular office or position.
-
C.
timeInOfficeBeginsIn
chosen
Indicates the point in time or date when an entity’s term, tenure, or period in office starts.
-
D.
previousHolderStartDate
Indicates the date on which the immediately preceding holder of something (e.g., a position, title, or asset) began their tenure or ownership.
-
E.
startDate
Indicates the point in time when an event, state, or relationship begins.
- 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_69a88643a3388190a612f2ebe1fb29e7 |
completed | March 4, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69aba67721788190951beae25e885457 |
completed | March 7, 2026, 4:15 a.m. |
| PD | Predicate disambiguation | batch_69aa61d514c081908197ac1f7c7d7a88 |
completed | March 6, 2026, 5:10 a.m. |
Created at: March 4, 2026, 7:32 p.m.