Triple
T8616055
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Doudou |
E204039
|
entity |
| Predicate | hasSpellingVariant |
P457
|
FINISHED |
| Object | Doudou |
E204039
|
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: Doudou | Statement: [Doudou, hasSpellingVariant, Doudou]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Doudou Context triple: [Doudou, hasSpellingVariant, Doudou]
-
A.
Doudou
chosen
Doudou is a familiar nickname or short form of the French given name Édouard.
-
B.
Doudou of Mons
Doudou of Mons is a historic annual festival in Mons, Belgium, featuring religious processions and a famous dragon-slaying reenactment known as the Lumeçon.
-
C.
Zouzou
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.
-
D.
Petit Bé fort
Petit Bé fort is a tidal island fortress off Saint-Malo, France, built in the late 17th century as part of the town’s coastal defenses.
-
E.
Babo
Babo is a central character in Herman Melville’s novella "Benito Cereno," known as the cunning leader of a slave revolt who manipulates appearances aboard a Spanish slave ship.
- 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_69ca832ceab8819096e4a9f546695079 |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cc4703b57c81909511de72fa5c38d7 |
completed | March 31, 2026, 10:13 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cea923ae148190a973ef8ad6ccac9a |
completed | April 2, 2026, 5:36 p.m. |
Created at: March 30, 2026, 6:25 p.m.