Triple
T13833503
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | BUBBA |
E332463
|
entity |
| Predicate | notableCollaboration |
P8554
|
FINISHED |
| Object | Estelle |
E12645
|
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: Estelle | Statement: [BUBBA, notableCollaboration, Estelle]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Estelle Context triple: [BUBBA, notableCollaboration, Estelle]
-
A.
Estelle
chosen
Estelle is a British singer, rapper, and songwriter best known for her hit single "American Boy" featuring Kanye West.
-
B.
Estelle
Estelle is the given first name of American actress Louise Fletcher, best known for her Academy Award–winning role as Nurse Ratched in "One Flew Over the Cuckoo's Nest."
-
C.
Estelle
Estelle is a community located within Jefferson Parish in the Greater New Orleans metropolitan area of Louisiana.
-
D.
Estelle
Estelle is one of the three central characters trapped together in the existential hell of Jean-Paul Sartre’s play "No Exit."
-
E.
Gisèle
Gisèle is a feminine given name of French origin, commonly used in Francophone countries and beyond.
- 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_69d81c5ae7c88190b0dd41bdafeb5999 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de029a34bc8190ae892ef7b09fc9e9 |
completed | April 14, 2026, 9:02 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f7c0ed7e8c81909ffed37f5b097188 |
completed | May 3, 2026, 9:41 p.m. |
Created at: April 9, 2026, 10:13 p.m.