Triple
T10751990
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Renée Zellweger |
E253592
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Zellweger |
E253592
|
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: Zellweger | Statement: [Renée Zellweger, familyName, Zellweger]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Zellweger Context triple: [Renée Zellweger, familyName, Zellweger]
-
A.
Zellweger
chosen
Zellweger is the surname of Renée Zellweger, the acclaimed American actress known for roles in films such as "Bridget Jones's Diary," "Chicago," and "Judy."
-
B.
Joubbé
Joubbé is a locality in Lebanon that forms part of the pastoral territory served by the Maronite Catholic Eparchy of Joubbé, Sarba and Jounieh.
-
C.
Meckingsen
Meckingsen is a village-level district that forms part of the town of Soest in North Rhine-Westphalia, Germany.
-
D.
PKU
PKU is a leading Chinese research university in Beijing renowned for its rigorous academics, influential alumni, and historic campus.
-
E.
Noonan
Noonan is the surname of Peggy Noonan, a prominent American political speechwriter, author, and columnist.
- 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_69d6aa5e51e8819095f06881cecf152e |
completed | April 8, 2026, 7:19 p.m. |
| NER | Named-entity recognition | batch_69d71dc184d0819085f8bc4edb034377 |
completed | April 9, 2026, 3:32 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69dbdb897f7c81909002f2478613eff8 |
completed | April 12, 2026, 5:51 p.m. |
Created at: April 8, 2026, 9:15 p.m.