Triple
T15930839
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Allan Moffat |
E386318
|
entity |
| Predicate | numberOfATCCTitles |
P120593
|
FINISHED |
| Object | 4 |
—
|
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: 4 | Statement: [Allan Moffat, numberOfATCCTitles, 4]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: numberOfATCCTitles Context triple: [Allan Moffat, numberOfATCCTitles, 4]
-
A.
numberOfABATitles
Indicates the total count of ABA (American Bar Association) titles associated with a given entity.
-
B.
numberOfSerieATitles
Indicates the number of Serie A championship titles that an entity has won.
-
C.
uniqueTitleHolderCount
Indicates the number of distinct entities that exclusively hold a given title, with no other entity sharing that same title.
-
D.
titleCount
Indicates the number of distinct titles associated with an entity within a given context.
-
E.
totalFranchiseTitleNumber
Indicates the total count of titles associated with a given franchise across all its installments or entries.
- 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_69d86da750008190987eb26be3f6c118 |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e172b48b308190bc430b2308cbc75b |
completed | April 16, 2026, 11:37 p.m. |
| PD | Predicate disambiguation | batch_69e142cf5c548190a931f7b58144cd31 |
completed | April 16, 2026, 8:13 p.m. |
| PDg | Predicate description generation | batch_69e172b213e481909ee0c05e16229a26 |
completed | April 16, 2026, 11:37 p.m. |
Created at: April 10, 2026, 4:52 a.m.