Triple
T23716357
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Essential Alice in Chains |
E586013
|
entity |
| Predicate | isCareerSpanning |
P92018
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [The Essential Alice in Chains, isCareerSpanning, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isCareerSpanning Context triple: [The Essential Alice in Chains, isCareerSpanning, true]
-
A.
hasCareerSpanCoverage
chosen
Indicates that one entity’s coverage, record, or data extends across the full duration of another entity’s career span.
-
B.
timeInCareer
Indicates the point or duration within an entity’s professional or occupational trajectory at which a related event, status, or condition occurs.
-
C.
hasCareerService
Indicates that an entity provides or is associated with a career-related support or advisory service for another entity.
-
D.
hasCareerStage
Indicates the specific phase or stage of a person's or entity's professional or occupational progression.
-
E.
hasCareerTrack
Indicates that an entity is associated with or follows a particular career path or professional progression.
- 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_69e24905f77881908194d645676acd60 |
completed | April 17, 2026, 2:51 p.m. |
| NER | Named-entity recognition | batch_69f1b77ab1bc8190be72606d363a07a0 |
completed | April 29, 2026, 7:47 a.m. |
| PD | Predicate disambiguation | batch_69f155e4b1148190836ede4741dcb888 |
completed | April 29, 2026, 12:50 a.m. |
Created at: April 17, 2026, 6:54 p.m.