Triple
T9079630
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Leontine Drinkard |
E217582
|
entity |
| Predicate | hasChild |
P369
|
FINISHED |
| Object | Emily Drinkard |
E117271
|
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: Emily Drinkard | Statement: [Leontine Drinkard, hasChild, Emily Drinkard]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Emily Drinkard Context triple: [Leontine Drinkard, hasChild, Emily Drinkard]
-
A.
Emily Drinkard
chosen
Emily Drinkard, better known as Cissy Houston, is an American soul and gospel singer and the mother of Whitney Houston.
-
B.
Jeanie Drynan
Jeanie Drynan is an Australian actress best known for her film and television work, including a prominent role in the acclaimed comedy-drama "Muriel's Wedding."
-
C.
Laura Bickford
Laura Bickford is an American film producer best known for her work on acclaimed independent and studio films, including the Oscar-winning drama "Traffic."
-
D.
Jennifer Cossitt
Jennifer Cossitt is a Canadian politician who has served as the elected representative for the Leeds—Grenville electoral district.
-
E.
Diana Rathbun
Diana Rathbun is a film producer best known for her work on the epic historical war movie "Troy."
- 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_69ca83d7a0388190ba1af89ed7ba36f9 |
completed | March 30, 2026, 2:08 p.m. |
| NER | Named-entity recognition | batch_69cc95c93ee48190842623b57e50f4cf |
completed | April 1, 2026, 3:49 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d99859b5cc81908475fde408802607 |
completed | April 11, 2026, 12:39 a.m. |
Created at: March 30, 2026, 7:12 p.m.