Triple
T37171038
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Thank You for the Music (ABBA box set) |
E920909
|
entity |
| Predicate | showcasesCareerSpanOf |
P92018
|
FINISHED |
| Object | ABBA |
—
|
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: ABBA | Statement: [Thank You for the Music (ABBA box set), showcasesCareerSpanOf, ABBA]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: showcasesCareerSpanOf Context triple: [Thank You for the Music (ABBA box set), showcasesCareerSpanOf, ABBA]
-
A.
hasCareerSpanCoverage
chosen
Indicates that one entity’s coverage, record, or data extends across the full duration of another entity’s career span.
-
B.
activeYearsInCareer
Indicates the span of time during which an entity was actively engaged in a particular career or professional field.
-
C.
timeInCareer
Indicates the point or duration within an entity’s professional or occupational trajectory at which a related event, status, or condition occurs.
-
D.
careerSpanTeam
Indicates the team for which an individual’s entire career span (or a defined portion of it) is being measured or associated.
-
E.
playedCareerStartYear
Indicates the calendar year in which an entity’s playing career (such as a professional or competitive role) began.
- 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_69f76ea16f288190b445aa1604d996f4 |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_69fb55de3b9c8190a7656aeab3c3ffbc |
completed | May 6, 2026, 2:53 p.m. |
| PD | Predicate disambiguation | batch_69fb35bc92e08190bff447624e2df791 |
completed | May 6, 2026, 12:36 p.m. |
Created at: May 3, 2026, 4:15 p.m.