Triple
T13941863
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hello, Larry |
E335274
|
entity |
| Predicate | themeMusicComposer |
P1952
|
FINISHED |
| Object | Ed Alton |
E1081040
|
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: Ed Alton | Statement: [Hello, Larry, themeMusicComposer, Ed Alton]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ed Alton Context triple: [Hello, Larry, themeMusicComposer, Ed Alton]
-
A.
Ed Alton
chosen
Ed Alton is an American television composer best known for scoring numerous sitcoms and series from the 1980s onward.
-
B.
Robert Alton
Robert Alton was an influential American choreographer and director known for shaping the dance sequences of numerous classic Hollywood musicals and Broadway productions.
-
C.
Glen Tullman
Glen Tullman is an American healthcare technology entrepreneur and executive best known for leading and building major digital health companies, including Allscripts.
-
D.
Michael Alldredge
Michael Alldredge was an American character actor known for his supporting roles in films and television during the 1970s and 1980s.
-
E.
Arthur Elvin
Arthur Elvin was a British entrepreneur and impresario best known for transforming and managing Wembley Stadium and its associated venues into major centers for sport and entertainment in the mid-20th century.
- 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_69d81c6081b88190b53e317c3370c8fe |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de2cf6e29881908ddb8efca9a456a3 |
completed | April 14, 2026, 12:03 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fcf7d44d848190ab445833e64a6bfc |
completed | May 7, 2026, 8:36 p.m. |
Created at: April 9, 2026, 10:17 p.m.