Triple
T21911482
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bob Arum |
E541072
|
entity |
| Predicate | activeYearsInBoxingPromotion |
P145611
|
FINISHED |
| Object | since the mid-1960s |
—
|
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: since the mid-1960s | Statement: [Bob Arum, activeYearsInBoxingPromotion, since the mid-1960s]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: activeYearsInBoxingPromotion Context triple: [Bob Arum, activeYearsInBoxingPromotion, since the mid-1960s]
-
A.
yearsActiveAsBoxer
Indicates the span of time, measured in years, during which an individual was actively engaged in boxing.
-
B.
undefeatedInProfessionalBoxing
Indicates that a boxer has never lost any match in their professional boxing career.
-
C.
finalProfessionalFightYear
Indicates the year in which an individual participated in their last professional fight.
-
D.
yearsActiveInMMA
Indicates the span of time, in years, during which an entity has been actively involved in mixed martial arts competition or participation.
-
E.
formerBoxer
Indicates that a person previously worked or competed as a boxer but no longer does so.
- F. None of above. chosen
Provenance (4 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_69e0c47c4b9c8190a5586a75f5f36453 |
completed | April 16, 2026, 11:14 a.m. |
| NER | Named-entity recognition | batch_69f121da36e88190b42b82641ec54a19 |
completed | April 28, 2026, 9:08 p.m. |
| PD | Predicate disambiguation | batch_69e6be9ebf4c8190892df1a8e1313f88 |
completed | April 21, 2026, 12:02 a.m. |
| PDg | Predicate description generation | batch_69e6c187bc548190b4ca13150f6bae38 |
completed | April 21, 2026, 12:15 a.m. |
Created at: April 16, 2026, 7:41 p.m.