Triple
T16640906
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lily Rose Beatrice Allen |
E404332
|
entity |
| Predicate | hasChild |
P369
|
FINISHED |
| Object | Marnie Rose Cooper |
E404334
|
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: Marnie Rose Cooper | Statement: [Lily Rose Beatrice Allen, hasChild, Marnie Rose Cooper]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Marnie Rose Cooper Context triple: [Lily Rose Beatrice Allen, hasChild, Marnie Rose Cooper]
-
A.
Marnie Rose Cooper
chosen
Marnie Rose Cooper is the daughter of English singer-songwriter and television personality Lily Allen.
-
B.
Jill Cooper
Jill Cooper is the daughter of renowned English actress Gladys Cooper.
-
C.
Maxine Cooper
Maxine Cooper was an American actress best known for her role as Velda, the loyal secretary in the classic 1955 film noir "Kiss Me Deadly."
-
D.
Marnie Michaels
Marnie Michaels is a central character on the HBO series "Girls," known for her ambitious, image-conscious personality and complicated friendships and relationships.
-
E.
Lorraine Rowan Cooper
Lorraine Rowan Cooper was the wife of longtime U.S. Senator and diplomat John Sherman Cooper and a prominent figure in Kentucky social and political circles.
- 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_69d8838a41f08190b0c3f79c47df5078 |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e37ad1a7748190aa9308d4e96c566c |
completed | April 18, 2026, 12:36 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0084bb4cec819091d9b7b2a09248ee |
completed | May 10, 2026, 1:14 p.m. |
Created at: April 10, 2026, 5:18 a.m.