Triple
T10909031
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Anne Mulcahy |
E257643
|
entity |
| Predicate | notableRoleStartTime |
P34618
|
FINISHED |
| Object | early 2000s |
—
|
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: early 2000s | Statement: [Anne Mulcahy, notableRoleStartTime, early 2000s]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: notableRoleStartTime Context triple: [Anne Mulcahy, notableRoleStartTime, early 2000s]
-
A.
startTimeOfNotableRole
chosen
Indicates the point in time when an entity began a notable role, position, or function.
-
B.
notableDepictionYear
Indicates the year in which a notable or significant depiction of an entity occurred or was created.
-
C.
notableEraStart
Indicates the point in time when a notable or historically significant era associated with an entity begins.
-
D.
notableWorkPeriod
Indicates the time span during which an entity produced or was associated with its most significant or well-known works.
-
E.
madeProfessionalDebutIn
Indicates the time or event in which an individual first performed or appeared in a professional capacity within a given field or organization.
- 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_69d6aa8550c8819095508a2ed9acf3db |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d7706824d08190ba894d144cc6b3ba |
completed | April 9, 2026, 9:24 a.m. |
| PD | Predicate disambiguation | batch_69d70d3d69e08190bb369e9a7927142c |
completed | April 9, 2026, 2:21 a.m. |
Created at: April 8, 2026, 9:22 p.m.