Triple
T9627132
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Demi Moore |
E232497
|
entity |
| Predicate | child |
P120
|
FINISHED |
| Object | Rumer Willis |
E498046
|
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: Rumer Willis | Statement: [Demi Moore, child, Rumer Willis]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Rumer Willis Context triple: [Demi Moore, child, Rumer Willis]
-
A.
Rumer Willis
chosen
Rumer Willis is an American actress and singer known for her roles in film, television, and on Broadway, as well as for being the eldest daughter of actors Bruce Willis and Demi Moore.
-
B.
Lindsay Applegate
Lindsay Applegate was a 19th-century American pioneer and trailblazer known for helping establish emigrant routes to the Pacific Northwest.
-
C.
Juliette Lewis
Juliette Lewis is an American actress and singer known for her intense, offbeat performances in films such as "Cape Fear," "Natural Born Killers," and numerous independent productions.
-
D.
Marissa Ribisi
Marissa Ribisi is an American actress known for her roles in films like "Dazed and Confused" and "Pleasantville."
-
E.
Amber Tamblyn
Amber Tamblyn is an American actress and writer best known for her roles in the television series "Joan of Arcadia" and films such as "The Sisterhood of the Traveling Pants."
- 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_69ca848793ec8190a93a12383a754dc0 |
completed | March 30, 2026, 2:11 p.m. |
| NER | Named-entity recognition | batch_69cd9afc9144819084b208c3d04174ba |
completed | April 1, 2026, 10:23 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d1798129dc819090a29efcbcf34b8e |
completed | April 4, 2026, 8:50 p.m. |
Created at: March 30, 2026, 8:10 p.m.