Triple
T9853982
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Alan & Naomi |
E239538
|
entity |
| Predicate | composer |
P1361
|
FINISHED |
| Object | Cynthia Millar |
E585517
|
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: Cynthia Millar | Statement: [Alan & Naomi, composer, Cynthia Millar]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Cynthia Millar Context triple: [Alan & Naomi, composer, Cynthia Millar]
-
A.
Cynthia Millar
chosen
Cynthia Millar is a British composer and ondes Martenot specialist known for her work on numerous film and television scores.
-
B.
Ann McMillan
Ann McMillan is the daughter of American physicist and Nobel laureate Edwin McMillan.
-
C.
Cynthia Stevenson
Cynthia Stevenson is an American actress known for her work in film and television, including roles in projects like "Home for the Holidays" and the series "Dead Like Me."
-
D.
Lisa Baird
Lisa Baird is an American sports executive who served as commissioner of the National Women's Soccer League (NWSL).
-
E.
Kathryn Morris
Kathryn Morris is an American actress best known for her lead role as Detective Lilly Rush on the television series "Cold Case."
- 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_69ca84e4fdc08190a624425bcef98665 |
completed | March 30, 2026, 2:12 p.m. |
| NER | Named-entity recognition | batch_69cdb376d32c819089381cf6ed83629d |
completed | April 2, 2026, 12:08 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e3e686db808190a2aa975a20e69696 |
completed | April 18, 2026, 8:16 p.m. |
Created at: March 30, 2026, 8:34 p.m.