Triple
T10378501
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hans Zimmer |
E244569
|
entity |
| Predicate | spouse |
P13
|
FINISHED |
| Object | Suzanne Zimmer |
E244569
|
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: Suzanne Zimmer | Statement: [Hans Zimmer, spouse, Suzanne Zimmer]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Suzanne Zimmer Context triple: [Hans Zimmer, spouse, Suzanne Zimmer]
-
A.
Suzanne Zimmer
chosen
Suzanne Zimmer is the wife of renowned film composer Hans Zimmer and the mother of several of his children.
-
B.
Suzanne Kilpatrick
Suzanne Kilpatrick is best known as the wife of American conservative columnist and television commentator James J. Kilpatrick.
-
C.
Suzanne Johnson
Suzanne Johnson is a member of the Johnson family, known primarily in relation to that family group.
-
D.
Suzanne Smith
Suzanne Smith is known as the spouse of Irish actor Dermot Crowley.
-
E.
Suzanne Scott
Suzanne Scott is an individual honored as a namesake of the Suzanne and Walter Scott Aquarium, indicating her significant personal or philanthropic connection to that institution.
- 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_69d381b3e328819094b23b8edcd29b5a |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4e98fead88190ace49f34b8a27c25 |
completed | April 7, 2026, 11:25 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e3c7b89a808190af9b2d4f37ad9012 |
completed | April 18, 2026, 6:04 p.m. |
Created at: April 6, 2026, 12:03 p.m.