Triple
T25773712
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Toni Ko |
E649087
|
entity |
| Predicate | businessExitType |
P159249
|
FINISHED |
| Object | strategic acquisition by global beauty company |
—
|
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: strategic acquisition by global beauty company | Statement: [Toni Ko, businessExitType, strategic acquisition by global beauty company]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: businessExitType Context triple: [Toni Ko, businessExitType, strategic acquisition by global beauty company]
-
A.
marketExit
Indicates that an entity ceases operating, selling, or competing in a particular market or geographic/segment context.
-
B.
eligibleBusinessType
Indicates that a business entity qualifies under specified criteria to be considered an eligible type for a particular program, rule, or context.
-
C.
closingVenue
Indicates that a venue is ceasing operations or shutting down, marking the end of its availability or use.
-
D.
natureOfTermination
Indicates the manner, cause, or conditions under which a relationship, contract, or employment is brought to an end.
-
E.
establishmentType
Indicates the specific kind or category of establishment that an entity is classified as.
- 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.