Triple
T34436580
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | I Ain’t Been Licked |
E883971
|
entity |
| Predicate | describesEraOfCareer |
P37944
|
FINISHED |
| Object | late 1970s Diana Ross |
—
|
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: late 1970s Diana Ross | Statement: [I Ain’t Been Licked, describesEraOfCareer, late 1970s Diana Ross]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: describesEraOfCareer Context triple: [I Ain’t Been Licked, describesEraOfCareer, late 1970s Diana Ross]
-
A.
refersToEraOfCareer
chosen
Indicates that one entity specifies or denotes the particular era or phase within another entity’s career.
-
B.
playedWithEra
Indicates that an entity performed or was active during a specified historical or stylistic era.
-
C.
associatedWithNotableEra
Indicates that something has a significant connection or relevance to a historically or culturally notable period of time.
-
D.
partOfEra
Indicates that one entity exists as a temporal segment or component within the duration or scope of a larger historical era.
-
E.
livedInEra
Indicates that an entity existed or was active during a particular historical era or time period.
- 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_69f349c548d88190978e2a82502c03d0 |
completed | April 30, 2026, 12:23 p.m. |
| NER | Named-entity recognition | batch_69fd19f791f48190bbb6f6047f9ddc59 |
completed | May 7, 2026, 11:02 p.m. |
| PD | Predicate disambiguation | batch_69fd0df365948190bc9bfc7ffd46acd8 |
completed | May 7, 2026, 10:10 p.m. |
Created at: May 1, 2026, 2 a.m.