Triple
T28215765
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Edwards Laboratories |
E711308
|
entity |
| Predicate | hasNotableSuccessorCompany |
P198820
|
FINISHED |
| Object | Edwards Lifesciences |
—
|
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: Edwards Lifesciences | Statement: [Edwards Laboratories, hasNotableSuccessorCompany, Edwards Lifesciences]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasNotableSuccessorCompany Context triple: [Edwards Laboratories, hasNotableSuccessorCompany, Edwards Lifesciences]
-
A.
hasCorporateSuccessor
Indicates that one corporate entity is the legal successor to another, inheriting its rights, obligations, or continuity of business.
-
B.
successorCompanyType
Indicates the type or category of the company that succeeds or takes over from a previous company in a corporate succession relationship.
-
C.
predecessorCompany
Indicates that one company previously existed in a role or form that was succeeded or replaced by another company.
-
D.
hasBusinessSuccession
Indicates that one business entity continues, replaces, or inherits the operations, rights, or obligations of another business over time.
-
E.
succeededByCompanyName
Indicates that one company is followed or replaced by another company as its successor.
- 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_69efb51cb5288190818c1f63a266af11 |
completed | April 27, 2026, 7:12 p.m. |
| NER | Named-entity recognition | batch_69ff0d80c0dc81909fbd12285c7a45c0 |
completed | May 9, 2026, 10:33 a.m. |
| PD | Predicate disambiguation | batch_69ff0cd03e78819094895058f925fbfa |
completed | May 9, 2026, 10:30 a.m. |
| PDg | Predicate description generation | batch_69ff0d800ee88190835e233d9e846cdb |
completed | May 9, 2026, 10:33 a.m. |
Created at: April 27, 2026, 10:42 p.m.