Triple
T4101826
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ibrahim Chappelle |
E87957
|
entity |
| Predicate | mother |
P120
|
FINISHED |
| Object | Elaine Chappelle |
E398869
|
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: Elaine Chappelle | Statement: [Ibrahim Chappelle, mother, Elaine Chappelle]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Elaine Chappelle Context triple: [Ibrahim Chappelle, mother, Elaine Chappelle]
-
A.
Elaine Chappelle
chosen
Elaine Chappelle is the wife of comedian Dave Chappelle and the mother of their three children, known for maintaining a private life away from the public spotlight.
-
B.
Shari Headley
Shari Headley is an American actress best known for her role as Lisa McDowell in the classic comedy film "Coming to America."
-
C.
Diane Chambers
Diane Chambers is an intelligent, sophisticated, and often pretentious waitress and love interest of Sam Malone on the classic American sitcom "Cheers."
-
D.
Veronica Smiley
Veronica Smiley is a business executive and the wife of Academy Award–winning film producer Brian Grazer.
-
E.
Elaine Baylor
Elaine Baylor is known as the wife of legendary Basketball Hall of Famer Elgin Baylor.
- 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_69aed94564cc8190a9c1457daedb6e7f |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aefd1012208190ab0980c661d6bc41 |
completed | March 9, 2026, 5:02 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b57f1f8ca0819090fb2acb3fe03d14 |
completed | March 14, 2026, 3:30 p.m. |
Created at: March 9, 2026, 3:40 p.m.