Triple
T28567014
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Zangen Pharmaceuticals |
E722706
|
entity |
| Predicate | hasWorkplaceRoleForCharacter |
P169943
|
FINISHED |
| Object | Bernadette Rostenkowski-Wolowitz |
—
|
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: Bernadette Rostenkowski-Wolowitz | Statement: [Zangen Pharmaceuticals, hasWorkplaceRoleForCharacter, Bernadette Rostenkowski-Wolowitz]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasWorkplaceRoleForCharacter Context triple: [Zangen Pharmaceuticals, hasWorkplaceRoleForCharacter, Bernadette Rostenkowski-Wolowitz]
-
A.
hasHumanCharacterRole
Indicates that an entity is assigned a role or function specifically associated with a human character within a context such as a story, performance, or representation.
-
B.
associatedWithCharacterRole
Indicates that one entity has a connection or linkage to a specific character role played or held by another entity.
-
C.
isCharacterInWork
Indicates that a particular character appears in or is part of a specified creative work (such as a book, film, or game).
-
D.
settingOfCharacterOccupation
chosen
Indicates the place or environment in which a character performs or holds their occupation.
-
E.
hasNamesakeRoleFor
Indicates that one entity holds a role or position that is named after, or serves as a namesake for, another entity.
- 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_69f01a5f69d08190ad5c0d2167078dec |
completed | April 28, 2026, 2:24 a.m. |
| NER | Named-entity recognition | batch_69f791cc969c8190bf187d6031a030d5 |
completed | May 3, 2026, 6:19 p.m. |
| PD | Predicate disambiguation | batch_69f791033d288190b118029fe412b9c9 |
completed | May 3, 2026, 6:16 p.m. |
Created at: April 28, 2026, 4:07 a.m.