Triple
T8361909
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Omega Man |
E197026
|
entity |
| Predicate | musicBy |
P1952
|
FINISHED |
| Object | Ron Grainer |
E417907
|
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: Ron Grainer | Statement: [The Omega Man, musicBy, Ron Grainer]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ron Grainer Context triple: [The Omega Man, musicBy, Ron Grainer]
-
A.
Ron Grainer
chosen
Ron Grainer was an Australian composer best known for writing iconic television themes, including the original Doctor Who theme.
-
B.
Victor Young
Victor Young was an American composer, arranger, and conductor best known for his prolific film scores and popular songs during Hollywood’s Golden Age.
-
C.
Bob Thiele
Bob Thiele was an American record producer and songwriter best known for co-writing the classic Louis Armstrong hit "What a Wonderful World."
-
D.
Ralph Rainger
Ralph Rainger was an American composer best known for his popular film scores and hit songs during Hollywood’s Golden Age.
-
E.
Dominic Frontiere
Dominic Frontiere was an American composer and arranger best known for his distinctive, atmospheric scores for film and television in the 1960s and 1970s, particularly in the science fiction and thriller genres.
- 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_69ca82f2dbe48190aba982e75a0d94de |
completed | March 30, 2026, 2:04 p.m. |
| NER | Named-entity recognition | batch_69cb8074e4588190b394d1622adca2cb |
completed | March 31, 2026, 8:06 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cdc77cf2ac8190a1c5b618fd64da73 |
completed | April 2, 2026, 1:33 a.m. |
Created at: March 30, 2026, 6 p.m.