Triple
T1015728
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tim Cook |
E21924
|
entity |
| Predicate | timePersonOfTheYearMention |
P23436
|
FINISHED |
| Object | Runner-up 2012 |
—
|
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: Runner-up 2012 | Statement: [Tim Cook, timePersonOfTheYearMention, Runner-up 2012]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: timePersonOfTheYearMention Context triple: [Tim Cook, timePersonOfTheYearMention, Runner-up 2012]
-
A.
notablePersonDiscussed
Indicates that the subject entity includes or features a discussion about the referenced notable person.
-
B.
yearHonored
Indicates the specific year in which an entity received an honor, award, or formal recognition.
-
C.
nicknameOfYear
Indicates that a given nickname is used to refer to or characterize a particular year.
-
D.
hasNotableHonoree
Indicates that an entity is notably dedicated to, named after, or honors a particular person or group.
-
E.
notableAwardNominationRecipient
Indicates that an entity has been formally nominated to receive a particular notable award.
- 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_69a493c68e24819080ed0ee8bcfd5ce0 |
completed | March 1, 2026, 7:30 p.m. |
| NER | Named-entity recognition | batch_69a4b7c05060819083c51717874074c8 |
completed | March 1, 2026, 10:03 p.m. |
| PD | Predicate disambiguation | batch_69a4b7238d4c8190b22d6c2ac0ac4911 |
completed | March 1, 2026, 10:01 p.m. |
| PDg | Predicate description generation | batch_69a4b7a0d0308190a00192aa9062bdaa |
completed | March 1, 2026, 10:03 p.m. |
Created at: March 1, 2026, 7:41 p.m.