Triple
T32807257
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | C.C. Wei |
E839052
|
entity |
| Predicate | roleAtTSMC |
P178094
|
FINISHED |
| Object | joined TSMC as senior vice president of business development |
—
|
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: joined TSMC as senior vice president of business development | Statement: [C.C. Wei, roleAtTSMC, joined TSMC as senior vice president of business development]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: roleAtTSMC Context triple: [C.C. Wei, roleAtTSMC, joined TSMC as senior vice president of business development]
-
A.
roleAtTransmeta
Indicates that an entity holds or held a specific role or position at the organization Transmeta.
-
B.
roleWithinSamsungCT
Indicates a person’s specific role, position, or function within the organization Samsung C&T.
-
C.
roleWithinAppliedMaterials
Indicates that one entity holds a specific role or position within the organization Applied Materials.
-
D.
roleInToyotaGroup
Indicates that an entity holds a specific role or position within the organizational structure of the Toyota Group.
-
E.
roleInMCU
Indicates that one entity portrays or has a specific character role within the Marvel Cinematic Universe in relation to the other entity.
- 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_69f3493d35208190b4351b4e85f2fa16 |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_69f70c53062c8190b4cb7be22ab00bc7 |
completed | May 3, 2026, 8:50 a.m. |
| PD | Predicate disambiguation | batch_69f70abe43e08190b2a30930d96247c1 |
completed | May 3, 2026, 8:43 a.m. |
| PDg | Predicate description generation | batch_69f70b94784c8190970d654e066eb50d |
completed | May 3, 2026, 8:47 a.m. |
Created at: May 1, 2026, 1:15 a.m.