Triple
T6131263
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Les Baxter |
E136722
|
entity |
| Predicate | associatedAct |
P37
|
FINISHED |
| Object |
Harry Revel
Harry Revel was a British-born American composer best known for his popular songs and innovative collaborations in mid-20th-century popular music.
|
E576549
|
NE FINISHED |
How this triple was built (4 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: Harry Revel | Statement: [Les Baxter, associatedAct, Harry Revel]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Harry Revel Context triple: [Les Baxter, associatedAct, Harry Revel]
-
A.
Howard Keel
Howard Keel was an American actor and baritone singer best known for his leading roles in classic MGM musicals of the 1950s and later for his role on the TV series "Dallas."
-
B.
Leo Robin
Leo Robin was an American lyricist renowned for his popular songs for film and Broadway, including the Oscar-winning “Thanks for the Memory.”
-
C.
Joe Williams
Joe Williams was a renowned American jazz and blues singer best known for his powerful baritone voice and celebrated recordings with the Count Basie Orchestra.
-
D.
Cliff Hayes
Cliff Hayes is a film editor best known for his work on the influential Australian action film "Mad Max."
-
E.
Tom Walls
Tom Walls is a film editor known for his work on the movie "Remember My Name."
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Harry Revel Triple: [Les Baxter, associatedAct, Harry Revel]
Generated description
Harry Revel was a British-born American composer best known for his popular songs and innovative collaborations in mid-20th-century popular music.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Harry Revel Target entity description: Harry Revel was a British-born American composer best known for his popular songs and innovative collaborations in mid-20th-century popular music.
-
A.
Howard Keel
Howard Keel was an American actor and baritone singer best known for his leading roles in classic MGM musicals of the 1950s and later for his role on the TV series "Dallas."
-
B.
Leo Robin
Leo Robin was an American lyricist renowned for his popular songs for film and Broadway, including the Oscar-winning “Thanks for the Memory.”
-
C.
Joe Williams
Joe Williams was a renowned American jazz and blues singer best known for his powerful baritone voice and celebrated recordings with the Count Basie Orchestra.
-
D.
Cliff Hayes
Cliff Hayes is a film editor best known for his work on the influential Australian action film "Mad Max."
-
E.
Tom Walls
Tom Walls is a film editor known for his work on the movie "Remember My Name."
- F. None of above. chosen
Provenance (5 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_69c008a0a37c81908e5b4f879158afb3 |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c05c4de9c48190b98f67a6251ec1df |
completed | March 22, 2026, 9:17 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c16ec6b6648190801da4781246c27e |
completed | March 23, 2026, 4:48 p.m. |
| NEDg | Description generation | batch_69c1df0bcabc819097560894ac10ca92 |
completed | March 24, 2026, 12:47 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c1df750db481908a6281e02cd5f445 |
completed | March 24, 2026, 12:48 a.m. |
Created at: March 22, 2026, 4:15 p.m.