Triple
T9627134
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Demi Moore |
E232497
|
entity |
| Predicate | child |
P120
|
FINISHED |
| Object | Tallulah Willis |
E498048
|
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: Tallulah Willis | Statement: [Demi Moore, child, Tallulah Willis]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tallulah Willis Context triple: [Demi Moore, child, Tallulah Willis]
-
A.
Tallulah Willis
chosen
Tallulah Willis is an American actress and media personality, best known as one of the daughters of actors Bruce Willis and Demi Moore.
-
B.
Laiyah Shannon Brown
Laiyah Shannon Brown is the daughter of American R&B singer Monica and former NBA player Shannon Brown.
-
C.
Julia Faye
Julia Faye was an American actress best known for her frequent collaborations with director Cecil B. DeMille during the silent and early sound film eras.
-
D.
Riri Williams
Riri Williams is a young genius inventor in the Marvel universe who becomes the armored superhero Ironheart and plays a key role alongside Wakanda and its allies.
-
E.
Missi Pyle
Missi Pyle is an American actress and singer known for her comedic and character roles in films such as "Galaxy Quest," "Dodgeball," and "Charlie and the Chocolate Factory."
- 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.