Triple
T377656
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cillian Murphy |
E8605
|
entity |
| Predicate | startedCareerAs |
P4325
|
FINISHED |
| Object | rock musician |
—
|
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: rock musician | Statement: [Cillian Murphy, startedCareerAs, rock musician]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: startedCareerAs Context triple: [Cillian Murphy, startedCareerAs, rock musician]
-
A.
careerStart
Indicates the point in time when an entity begins its professional career or main occupational activity.
-
B.
occupationBegan
Indicates the point in time when an entity started holding a particular occupation or job.
-
C.
workedAs
chosen
Indicates that an entity held a particular job, role, or position, performing work in that capacity.
-
D.
workBecame
Indicates that one work was transformed, adapted, or evolved into another work over time.
-
E.
workedUnder
Indicates that one entity was hierarchically subordinate to and performed work under the supervision or authority of another 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_69a2e7f47dd08190a4e294ccbbe46cd4 |
completed | Feb. 28, 2026, 1:04 p.m. |
| NER | Named-entity recognition | batch_69a2ec1804108190a1e94526b71289ea |
completed | Feb. 28, 2026, 1:22 p.m. |
| PD | Predicate disambiguation | batch_69a2e96351cc8190a55adf95f8c27e9e |
completed | Feb. 28, 2026, 1:10 p.m. |
Created at: Feb. 28, 2026, 1:08 p.m.