Triple
T6666432
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jeffrey Maier interference play |
E151614
|
entity |
| Predicate | fanAge |
P72337
|
FINISHED |
| Object | 12 |
—
|
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: 12 | Statement: [Jeffrey Maier interference play, fanAge, 12]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: fanAge Context triple: [Jeffrey Maier interference play, fanAge, 12]
-
A.
fanInterestLevel
Indicates the degree or intensity of enthusiasm or interest that a fan has toward a particular subject, such as a person, team, or work.
-
B.
fanBaseSize
Indicates the size or magnitude of the group of fans or supporters associated with an entity.
-
C.
fanAccess
Indicates that an entity has permission or the ability to access fan-related content, features, or areas associated with another entity.
-
D.
fanUsage
Indicates that an entity uses, operates, or relies on a fan (e.g., for cooling, ventilation, or air circulation) in relation to another entity or context.
-
E.
fanTerm
Indicates that one entity is a term, label, or expression used by fans to refer to or describe another entity.
- 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_69c687f71fc081909dbd45d6377f6045 |
completed | March 27, 2026, 1:36 p.m. |
| NER | Named-entity recognition | batch_69c6ce738fe88190a5557900efeec7ec |
completed | March 27, 2026, 6:37 p.m. |
| PD | Predicate disambiguation | batch_69c6ad09974c81908784300ae218961f |
completed | March 27, 2026, 4:15 p.m. |
| PDg | Predicate description generation | batch_69c6ce72809c8190be85f6e42ca1c8ea |
completed | March 27, 2026, 6:37 p.m. |
Created at: March 27, 2026, 2:02 p.m.