Triple
T19935566
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sulwe |
E479165
|
entity |
| Predicate | mainCharacter |
P1183
|
FINISHED |
| Object | Sulwe |
—
|
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: Sulwe | Statement: [Sulwe, mainCharacter, Sulwe]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sulwe Context triple: [Sulwe, mainCharacter, Sulwe]
-
A.
Sulwe
chosen
Sulwe is a children's picture book by Lupita Nyong'o that explores colorism, self-esteem, and embracing one's own unique beauty through the story of a dark-skinned girl.
-
B.
Branca
Branca is a surname most notably associated with former Major League Baseball pitcher Ralph Branca.
-
C.
Branca
Branca was a medieval Portuguese infanta (princess) of the royal House of Burgundy.
-
D.
Redburga
Redburga is a historically obscure woman believed to have been the wife of King Egbert of Wessex and the mother of King Æthelwulf, placing her in the early 9th-century West Saxon royal family.
-
E.
Blanche-Nef
Blanche-Nef is the French name for the White Ship, the English vessel whose sinking in 1120 killed King Henry I’s heir and triggered a succession crisis in England.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8e522a17c819095165d4d24939fd8 |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e65a173a448190a25cb859803e3afc |
completed | April 20, 2026, 4:53 p.m. |
Created at: April 10, 2026, 1:53 p.m.