Triple
T26842278
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jean-Pierre Meyers |
E675811
|
entity |
| Predicate | hasWealthConnectionTo |
P89022
|
FINISHED |
| Object | L'Oréal |
—
|
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: L'Oréal | Statement: [Jean-Pierre Meyers, hasWealthConnectionTo, L'Oréal]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasWealthConnectionTo Context triple: [Jean-Pierre Meyers, hasWealthConnectionTo, L'Oréal]
-
A.
hasSocialTieWith
Indicates a social relationship or connection exists between two entities, such as friendship, acquaintance, or other interpersonal tie.
-
B.
hasContractWith
Indicates that one entity is bound by a formal contract or agreement with another entity.
-
C.
financialRelationshipWith
chosen
Indicates a financial connection or association between entities, such as ownership, investment, funding, or other monetary ties.
-
D.
hasStrongTiesTo
Indicates a close, influential, and enduring relationship or connection exists between the referenced entities.
-
E.
hasNotableConnectionTo
Indicates a significant or noteworthy relationship, association, or link exists between two entities.
- 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_69eee9b8d5e88190a07d3455c0fbb21f |
completed | April 27, 2026, 4:44 a.m. |
| NER | Named-entity recognition | batch_69f61b480c2c8190b68fc18091f8e401 |
completed | May 2, 2026, 3:42 p.m. |
| PD | Predicate disambiguation | batch_69f611ad2eb48190ac1ed0090f13f7a9 |
completed | May 2, 2026, 3:01 p.m. |
Created at: April 27, 2026, 5:08 a.m.