Triple
T19157530
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Organon & Co. (historical, later spun off) |
E468962
|
entity |
| Predicate | successorCompanyFocus |
P49865
|
FINISHED |
| Object | women’s health |
—
|
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: women’s health | Statement: [Organon & Co. (historical, later spun off), successorCompanyFocus, women’s health]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: successorCompanyFocus Context triple: [Organon & Co. (historical, later spun off), successorCompanyFocus, women’s health]
-
A.
successorManufacturer
Indicates that one manufacturer has taken over, replaced, or continued the role or operations of another manufacturer as its successor.
-
B.
acquiredCompanyFocus
Indicates that a company’s primary business focus or specialization changed as a result of acquiring another company.
-
C.
successorIndustryName
Indicates the name of the industry that succeeds or replaces a previous industry in a sequence or transition.
-
D.
hasCorporateSuccessor
Indicates that one corporate entity is the legal successor to another, inheriting its rights, obligations, or continuity of business.
-
E.
successorFocus
chosen
Indicates that one entity becomes the primary or main focus immediately after another entity in a sequence or process.
- 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_69d8dd084ff48190ac0f8c46ee722629 |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5eeba91a081909c04d61d6117da06 |
completed | April 20, 2026, 9:15 a.m. |
| PD | Predicate disambiguation | batch_69e4b9b83d6881908e6271c620f74100 |
completed | April 19, 2026, 11:17 a.m. |
Created at: April 10, 2026, 12:06 p.m.