Triple
T9854950
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Zimmer Holdings |
E239559
|
entity |
| Predicate | acquiredCompany |
P16131
|
FINISHED |
| Object | Biomet |
E47802
|
NE 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: Biomet | Statement: [Zimmer Holdings, acquiredCompany, Biomet]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Biomet Context triple: [Zimmer Holdings, acquiredCompany, Biomet]
-
A.
Zimmer Biomet
chosen
Zimmer Biomet is a global medical device company specializing in orthopedic implants, joint replacement technologies, and related surgical products.
-
B.
Innogen
Innogen is the original name of Imogen, the virtuous and wronged heroine of William Shakespeare’s play "Cymbeline."
-
C.
Biolon
Biolon is a tributary stream that feeds into Lake Annecy in southeastern France.
-
D.
Boston Scientific
Boston Scientific is a global medical technology company known for developing and manufacturing minimally invasive medical devices, particularly in cardiology and other interventional specialties.
-
E.
Efficeon
Efficeon is a family of low-power, x86-compatible microprocessors developed by Transmeta as the successor to its Crusoe line, aimed primarily at mobile and embedded computing devices.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69ca84e4fdc08190a624425bcef98665 |
completed | March 30, 2026, 2:12 p.m. |
| NER | Named-entity recognition | batch_69cdb3960fb481909c90d6d6cafc6222 |
completed | April 2, 2026, 12:08 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d1e4349a50819084ee1fcd067a082b |
completed | April 5, 2026, 4:25 a.m. |
Created at: March 30, 2026, 8:34 p.m.