Triple
T7550112
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ligue 1 Player of the Month |
E178507
|
entity |
| Predicate | hasExpertInvolvement |
P51071
|
FINISHED |
| Object | panel of experts or journalists |
—
|
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: panel of experts or journalists | Statement: [Ligue 1 Player of the Month, hasExpertInvolvement, panel of experts or journalists]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasExpertInvolvement Context triple: [Ligue 1 Player of the Month, hasExpertInvolvement, panel of experts or journalists]
-
A.
hasPeopleInvolved
chosen
Indicates that certain people participate in, are associated with, or are otherwise involved in the referenced entity or event.
-
B.
hasMemberInvolvedIn
Indicates that a group or collective entity has at least one of its members participating in or engaged with a specified activity, event, or situation.
-
C.
hasStudentInvolvement
Indicates that there is participation, engagement, or involvement of one or more students in the referenced activity, event, or entity.
-
D.
mayBeInvolvedIn
Indicates that an entity has a possible, but not certain, participation or role in a particular event, activity, or situation.
-
E.
hasSpecialist
Indicates that one entity is associated with or assigned to a specialist entity that provides expert support, service, or oversight for it.
- F. None of above.
Provenance (3 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_69c69f2cbe08819088f9eb0c03ef529b |
completed | March 27, 2026, 3:15 p.m. |
| NER | Named-entity recognition | batch_69c6f8b35ba481908e1e5bbf329daa33 |
completed | March 27, 2026, 9:37 p.m. |
| PD | Predicate disambiguation | batch_69c6f4daad6c8190af2b8ae88d2c8cb7 |
completed | March 27, 2026, 9:21 p.m. |
Created at: March 27, 2026, 3:49 p.m.