Triple
T16496925
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lyn Murray |
E400706
|
entity |
| Predicate | knownAs |
P39
|
FINISHED |
| Object | Lyn Murray |
E400706
|
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: Lyn Murray | Statement: [Lyn Murray, knownAs, Lyn Murray]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lyn Murray Context triple: [Lyn Murray, knownAs, Lyn Murray]
-
A.
Lyn Murray
chosen
Lyn Murray was a film and television composer and conductor best known for his work in mid-20th-century Hollywood, including scores for suspense and adventure films.
-
B.
Glynis Murray
Glynis Murray is a film producer best known for her work on the romantic comedy "The Wedding Date."
-
C.
Polly McKie
Polly McKie is an actress known for her role in the psychological horror-thriller film "Unsane."
-
D.
Bonnie Murray
Bonnie Murray is the wife of American actor and dancer Russ Tamblyn, known for his roles in films like "West Side Story" and "Seven Brides for Seven Brothers."
-
E.
Marilyn McLeod
Marilyn McLeod was an American songwriter best known for co-writing several Motown hits, including Diana Ross’s disco classic “Love Hangover.”
- 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_69d88381f6148190819958a038be990e |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e32e343a7c81909e04cbaaa40e2531 |
completed | April 18, 2026, 7:09 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00582a316c81908ec32679c976ba23 |
completed | May 10, 2026, 10:04 a.m. |
Created at: April 10, 2026, 5:14 a.m.