Triple
T34740498
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Laurent Nicollin |
E1001483
|
entity |
| Predicate | sharesFamilyBusinessWith |
P8006
|
FINISHED |
| Object | Louis Nicollin |
—
|
NE NERFINISHED |
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: Louis Nicollin | Statement: [Laurent Nicollin, sharesFamilyBusinessWith, Louis Nicollin]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: sharesFamilyBusinessWith Context triple: [Laurent Nicollin, sharesFamilyBusinessWith, Louis Nicollin]
-
A.
relatedFamilyBusiness
chosen
Indicates that there is a connection between entities through ownership, management, or involvement in the same family-run business or businesses.
-
B.
sharesFamilyWith
Indicates that two entities belong to the same family or share a familial relationship.
-
C.
hasFamilyBusinessIn
Indicates that an entity owns, operates, or is significantly involved in a family-run business located in a specified place.
-
D.
companyTypeFamily
Indicates that one company is categorized as belonging to the same corporate type or family grouping as another company.
-
E.
sharesFranchiseWith
Indicates that two entities belong to or are associated with the same franchise or overarching media/brand series.
- 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_69f76daf739881909ed3554f98a2b433 |
completed | May 3, 2026, 3:45 p.m. |
| NER | Named-entity recognition | batch_6a00372ff0e48190b3ed91f9bae9da6c |
completed | May 10, 2026, 7:43 a.m. |
| PD | Predicate disambiguation | batch_6a00359c1b8481909c1e43df9f5a789a |
completed | May 10, 2026, 7:37 a.m. |
Created at: May 3, 2026, 3:59 p.m.