Triple
T38687899
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Arthur Mercante Sr. |
E949170
|
entity |
| Predicate | yearsActiveAsReferee |
P191532
|
FINISHED |
| Object | 1950s–1980s |
—
|
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: 1950s–1980s | Statement: [Arthur Mercante Sr., yearsActiveAsReferee, 1950s–1980s]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: yearsActiveAsReferee Context triple: [Arthur Mercante Sr., yearsActiveAsReferee, 1950s–1980s]
-
A.
yearsActiveAsNFLReferee
Indicates the span of years during which an individual served as an NFL referee.
-
B.
yearsActiveAsUmpire
Indicates the span of time during which an entity has served or been active in the role of an umpire.
-
C.
yearsActiveAsNHLReferee
Indicates the span of years during which an individual served in the role of an NHL referee.
-
D.
leagueDebutAsReferee
Indicates that an individual made their first appearance as a referee in a particular league.
-
E.
FIFARefereeSince
Indicates that an individual has held official FIFA referee status starting from a specified date or year.
- 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_69f76efe16148190befd5dd59c3dfeaa |
completed | May 3, 2026, 3:51 p.m. |
| NER | Named-entity recognition | batch_69fcdfbc71c481908ba7f87907b17782 |
completed | May 7, 2026, 6:53 p.m. |
| PD | Predicate disambiguation | batch_69fcdbe580b8819087f143596b2c79c0 |
completed | May 7, 2026, 6:37 p.m. |
| PDg | Predicate description generation | batch_69fcdfbafbf48190abe38ec0003a6419 |
completed | May 7, 2026, 6:53 p.m. |
Created at: May 3, 2026, 4:33 p.m.