Triple
T32761952
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Michael Jackson: The Ultimate Collection |
E837778
|
entity |
| Predicate | spansCareerOf |
P92018
|
FINISHED |
| Object | Michael Jackson |
—
|
NE NERFINISHED |
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: Michael Jackson | Statement: [Michael Jackson: The Ultimate Collection, spansCareerOf, Michael Jackson]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: spansCareerOf Context triple: [Michael Jackson: The Ultimate Collection, spansCareerOf, Michael Jackson]
-
A.
hasCareerSpanCoverage
chosen
Indicates that one entity’s coverage, record, or data extends across the full duration of another entity’s career span.
-
B.
spentEntireCareerWith
Indicates that an individual has worked exclusively for a single organization or team for the full duration of their professional career.
-
C.
spentMostOfCareerIn
Indicates that an individual devoted the majority of their professional working life to being in or associated with a particular place, organization, or context.
-
D.
activeYearsInCareer
Indicates the span of time during which an entity was actively engaged in a particular career or professional field.
-
E.
timeInCareer
Indicates the point or duration within an entity’s professional or occupational trajectory at which a related event, status, or condition occurs.
- 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_69f34939857c8190aa9970c51feec1eb |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_69f6ce6d659881909ddcec1d2966e020 |
completed | May 3, 2026, 4:26 a.m. |
| PD | Predicate disambiguation | batch_69f6cc1667a48190b42684f6ec22dae9 |
completed | May 3, 2026, 4:16 a.m. |
Created at: May 1, 2026, 1:13 a.m.