Triple
T7208816
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chris Cornell (album) |
E148745
|
entity |
| Predicate | includesCareerSpanningHighlights |
P59274
|
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: [Chris Cornell (album), includesCareerSpanningHighlights, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: includesCareerSpanningHighlights Context triple: [Chris Cornell (album), includesCareerSpanningHighlights, true]
-
A.
compilesCareerSpanningHitsOf
chosen
Indicates the action of assembling and producing a collection of another entity’s most notable or successful works created over the course of its entire career.
-
B.
careerHits
Indicates the total number of hits a player has accumulated over the course of their entire professional career.
-
C.
hasCareerTrack
Indicates that an entity is associated with or follows a particular career path or professional progression.
-
D.
careerSeasons
Indicates the number or set of seasons during which an entity actively participated in a particular career or professional role.
-
E.
refersToEraOfCareer
Indicates that one entity specifies or denotes the particular era or phase within another entity’s career.
- 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_69c687e8cf188190b5f3ecffd681f04e |
completed | March 27, 2026, 1:36 p.m. |
| NER | Named-entity recognition | batch_69c6e96ae4dc8190b0b9e064ff968c10 |
completed | March 27, 2026, 8:32 p.m. |
| PD | Predicate disambiguation | batch_69c6e75f84e481909e7866186ae80cff |
completed | March 27, 2026, 8:23 p.m. |
Created at: March 27, 2026, 2:52 p.m.