Triple
T11713426
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Zouzou |
E278428
|
entity |
| Predicate | hasMainCharacter |
P1183
|
FINISHED |
| Object | Zouzou |
E278428
|
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: Zouzou | Statement: [Zouzou, hasMainCharacter, Zouzou]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Zouzou Context triple: [Zouzou, hasMainCharacter, Zouzou]
-
A.
Zouzou
chosen
Zouzou is a 1934 French musical film starring Josephine Baker, notable for being one of the first major French films to feature a Black woman in a leading role.
-
B.
Chouchou
Chouchou was the affectionate nickname of Claude Debussy’s young daughter, to whom he dedicated his piano suite "Children’s Corner."
-
C.
Loulou
Loulou is a given name or nickname commonly used in various cultures, often as a diminutive form of names like Louise or Louis.
-
D.
Zazie
Zazie is a German-American actress known for her roles in projects like the TV series "Atlanta" and the film "Deadpool 2."
-
E.
Zibelle
Zibelle is a village in eastern Germany, historically part of Lusatia, known in this context as the place where physicist Walther Nernst died.
- 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_69d6aaff2ce88190b4a1e4b341ad5377 |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d8a4be10088190854699385d1f6a95 |
completed | April 10, 2026, 7:20 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f0196916e081908671e79765d03778 |
completed | April 28, 2026, 2:20 a.m. |
Created at: April 8, 2026, 9:40 p.m.