Triple
T12223890
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Something Worth Saving |
E291290
|
entity |
| Predicate | producer |
P490
|
FINISHED |
| Object |
Todd Clark
Todd Clark is a Canadian songwriter and record producer known for his work with various pop and country artists.
|
E968814
|
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: Todd Clark | Statement: [Something Worth Saving, producer, Todd Clark]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Todd Clark Context triple: [Something Worth Saving, producer, Todd Clark]
-
A.
Matt Clark
Matt Clark was an American character actor known for his numerous supporting roles in Westerns and other films and television series from the 1960s onward.
-
B.
Mike E. Clark
Mike E. Clark is an American record producer best known for his long-running work with Insane Clown Posse and other artists on the Psychopathic Records label.
-
C.
Dane Clark
Dane Clark was an American film and television actor known for his tough, working-class persona in numerous 1940s and 1950s Hollywood dramas and war movies.
-
D.
Les Clark
Les Clark was an American animator and one of Disney’s famed "Nine Old Men," known for his influential work on many classic Disney films.
-
E.
Tim Clark
Tim Clark is a British airline executive best known as the longtime president of Emirates, where he played a key role in transforming it into a major global carrier.
- 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: Todd Clark Triple: [Something Worth Saving, producer, Todd Clark]
Generated description
Todd Clark is a Canadian songwriter and record producer known for his work with various pop and country artists.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Todd Clark Target entity description: Todd Clark is a Canadian songwriter and record producer known for his work with various pop and country artists.
-
A.
Matt Clark
Matt Clark was an American character actor known for his numerous supporting roles in Westerns and other films and television series from the 1960s onward.
-
B.
Mike E. Clark
Mike E. Clark is an American record producer best known for his long-running work with Insane Clown Posse and other artists on the Psychopathic Records label.
-
C.
Dane Clark
Dane Clark was an American film and television actor known for his tough, working-class persona in numerous 1940s and 1950s Hollywood dramas and war movies.
-
D.
Les Clark
Les Clark was an American animator and one of Disney’s famed "Nine Old Men," known for his influential work on many classic Disney films.
-
E.
Tim Clark
Tim Clark is a British airline executive best known as the longtime president of Emirates, where he played a key role in transforming it into a major global carrier.
- 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_69d6ab668acc8190963ba424049d6aee |
completed | April 8, 2026, 7:24 p.m. |
| NER | Named-entity recognition | batch_69d91ca11f788190bad2efb6c83ffccb |
completed | April 10, 2026, 3:52 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f60aa6d3d481909852a6f2f90d7a41 |
completed | May 2, 2026, 2:31 p.m. |
| NEDg | Description generation | batch_69f60c06e4c08190985114da9317e8fd |
completed | May 2, 2026, 2:36 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f60c99de9881909ef87b878ac346fc |
completed | May 2, 2026, 2:39 p.m. |
Created at: April 8, 2026, 9:51 p.m.