Triple
T25773713
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Toni Ko |
E649087
|
entity |
| Predicate | acquirerIndustry |
P159250
|
FINISHED |
| Object | global cosmetics conglomerate |
—
|
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: global cosmetics conglomerate | Statement: [Toni Ko, acquirerIndustry, global cosmetics conglomerate]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: acquirerIndustry Context triple: [Toni Ko, acquirerIndustry, global cosmetics conglomerate]
-
A.
acquirerOfIssuer
Indicates that one entity is the acquiring party in a transaction involving the specified issuer entity.
-
B.
hasCustomerIndustry
Indicates that a customer is associated with or operates within a particular industry or sector.
-
C.
containsIndustry
Indicates that one entity includes or encompasses a particular industry within its scope, structure, or operations.
-
D.
acquisitionTargetIndustry
Indicates the industry or sector in which the company being acquired operates.
-
E.
issuerOperatesIn
Indicates that an issuing entity conducts business activities or has operational presence within a specified geographic area or jurisdiction.
- 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_69e7ab333b508190b6d708d8d9a328ed |
completed | April 21, 2026, 4:52 p.m. |
| NER | Named-entity recognition | batch_69f5fe5b23ac81908ff1b6f06911f45b |
completed | May 2, 2026, 1:38 p.m. |
| PD | Predicate disambiguation | batch_69f4938b960081909b53c074a3e0c7c2 |
completed | May 1, 2026, 11:50 a.m. |
| PDg | Predicate description generation | batch_69f497b8abb88190bb672cf6907c4b8d |
completed | May 1, 2026, 12:08 p.m. |
Created at: April 22, 2026, 5:32 a.m.