Triple
T3102571
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Art Rooney |
E64752
|
entity |
| Predicate | activeYearsInNFLOwnership |
P45942
|
FINISHED |
| Object | 1933-1988 |
—
|
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: 1933-1988 | Statement: [Art Rooney, activeYearsInNFLOwnership, 1933-1988]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: activeYearsInNFLOwnership Context triple: [Art Rooney, activeYearsInNFLOwnership, 1933-1988]
-
A.
activeInYears
Indicates that an entity was active or operational during the specified years or year range.
-
B.
activeYearsInSport
Indicates the span of years during which an entity actively participated in a particular sport.
-
C.
activeYearsInCareer
Indicates the span of time during which an entity was actively engaged in a particular career or professional field.
-
D.
activeYearsInMLS
Indicates the span of years during which an entity was actively involved in Major League Soccer (MLS).
-
E.
ownerDuringNFLEra
Indicates that a person or entity held ownership of an NFL team during a specified NFL era or time period.
- 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_69ad857dc98481909e585dc3372e3ed5 |
completed | March 8, 2026, 2:19 p.m. |
| NER | Named-entity recognition | batch_69ada26df128819086541db7680c8c24 |
completed | March 8, 2026, 4:23 p.m. |
| PD | Predicate disambiguation | batch_69ad9df06ed88190809f0683122caa5a |
completed | March 8, 2026, 4:04 p.m. |
| PDg | Predicate description generation | batch_69ada0f6fef48190b13898be383a246b |
completed | March 8, 2026, 4:16 p.m. |
Created at: March 8, 2026, 3:03 p.m.