Triple
T32840718
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lucas Glover |
E839959
|
entity |
| Predicate | hasMajorTitleCount |
P202694
|
FINISHED |
| Object | 1 |
—
|
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: 1 | Statement: [Lucas Glover, hasMajorTitleCount, 1]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasMajorTitleCount Context triple: [Lucas Glover, hasMajorTitleCount, 1]
-
A.
hasMajorTitle
Indicates that an entity holds or has been awarded a significant, high-prestige title or championship.
-
B.
hasTitleCharacterCount
Indicates the relationship between an entity and the number of characters in its title.
-
C.
hasPrimaryTitle
Indicates that an entity is associated with its main or official title, distinguishing it from any alternative or secondary titles.
-
D.
hasMajorSundayTitle
Indicates that an entity holds or is associated with a primary or most significant title specifically designated for Sunday.
-
E.
hasMainTitleCue
Indicates that an entity is associated with a primary or main title cue used for identification or display.
- 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_69f3493ff0888190b51e974eae2a7834 |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_6a00ada2903481908b28ce55ef97a6c2 |
completed | May 10, 2026, 4:09 p.m. |
| PD | Predicate disambiguation | batch_6a00ad5d23788190b3f9e2de761d39bb |
completed | May 10, 2026, 4:07 p.m. |
| PDg | Predicate description generation | batch_6a00ada1f3588190a7138e9f9afb9a6b |
completed | May 10, 2026, 4:09 p.m. |
Created at: May 1, 2026, 1:16 a.m.