Triple
T4031599
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Agnes de Mille |
E83724
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | de Mille |
E83724
|
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: de Mille | Statement: [Agnes de Mille, familyName, de Mille]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: de Mille Context triple: [Agnes de Mille, familyName, de Mille]
-
A.
de Mille
chosen
De Mille is a surname most famously associated with American choreographer and dancer Agnes de Mille and her influential contributions to 20th-century musical theatre and ballet.
-
B.
Arvin
Arvin is a small agricultural city in Southern California’s San Joaquin Valley, known for its farming economy and diverse rural community.
-
C.
deMille
deMille is a notable American family name most famously associated with influential early 20th-century film directors and screenwriters in Hollywood.
-
D.
Miles
Miles is the official horse-themed mascot of the NFL’s Denver Broncos, known for entertaining fans at games and team events.
-
E.
Miles
Miles is a mysterious and possibly corrupted young boy in Henry James's gothic novella "The Turn of the Screw."
- 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_69aed92e29ac819080f7a98b594fec05 |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aefb0dbb8481909ff2ee49dadcd1dc |
completed | March 9, 2026, 4:53 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b5563b6d8c8190862597ea39b56de1 |
completed | March 14, 2026, 12:36 p.m. |
Created at: March 9, 2026, 3:36 p.m.