Triple
T19268531
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dr. Zander Rice (Logan) |
E481853
|
entity |
| Predicate | employer |
P7
|
FINISHED |
| Object | Transigen |
—
|
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: Transigen | Statement: [Dr. Zander Rice (Logan), employer, Transigen]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Transigen Context triple: [Dr. Zander Rice (Logan), employer, Transigen]
-
A.
Transigen
chosen
Transigen is a secretive biotech corporation in the X-Men/Logan universe that conducts unethical genetic experiments to create and control mutant weapons.
-
B.
Innogen
Innogen is the original name of Imogen, the virtuous and wronged heroine of William Shakespeare’s play "Cymbeline."
-
C.
Genex
Genex is an airline that uses Minsk National Airport as a primary base of operations for its flight network.
-
D.
Kymab
Kymab is a biotechnology company based in Cambridge, UK, focused on developing antibody-based therapeutics using its proprietary transgenic mouse platforms.
-
E.
Ventris
Ventris is the surname of Michael Ventris, the British architect and linguist renowned for deciphering the ancient script Linear B.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8e8ce54cc8190998418ff1f66ef28 |
completed | April 10, 2026, 12:10 p.m. |
| NER | Named-entity recognition | batch_69e5fbb68d0c819083ba0ce680dd7d99 |
completed | April 20, 2026, 10:11 a.m. |
Created at: April 10, 2026, 1:29 p.m.