Triple
T6460971
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Hunt for Red October |
E142119
|
entity |
| Predicate | producer |
P490
|
FINISHED |
| Object |
Jerry Sherlock
Jerry Sherlock was a film producer best known for producing the 1990 submarine thriller "The Hunt for Red October."
|
E593837
|
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: Jerry Sherlock | Statement: [The Hunt for Red October, producer, Jerry Sherlock]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jerry Sherlock Context triple: [The Hunt for Red October, producer, Jerry Sherlock]
-
A.
Hugh Sherlock
Hugh Sherlock was a Jamaican clergyman, social worker, and poet best known for writing the lyrics of Jamaica’s national anthem.
-
B.
Cornelius Sherlock
Cornelius Sherlock was a British architect best known for designing prominent public buildings such as the Walker Art Gallery in Liverpool.
-
C.
Dr. Watson
Dr. Watson is the loyal friend, assistant, and biographer of Sherlock Holmes in Arthur Conan Doyle’s detective stories.
-
D.
Holmes
Holmes is a common English surname borne by numerous notable figures, including writers, jurists, and fictional characters such as Sherlock Holmes.
-
E.
Holmes
Holmes is a consumer brand best known for its home comfort products such as fans, heaters, and air purifiers.
- 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: Jerry Sherlock Triple: [The Hunt for Red October, producer, Jerry Sherlock]
Generated description
Jerry Sherlock was a film producer best known for producing the 1990 submarine thriller "The Hunt for Red October."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Jerry Sherlock Target entity description: Jerry Sherlock was a film producer best known for producing the 1990 submarine thriller "The Hunt for Red October."
-
A.
Hugh Sherlock
Hugh Sherlock was a Jamaican clergyman, social worker, and poet best known for writing the lyrics of Jamaica’s national anthem.
-
B.
Cornelius Sherlock
Cornelius Sherlock was a British architect best known for designing prominent public buildings such as the Walker Art Gallery in Liverpool.
-
C.
Dr. Watson
Dr. Watson is the loyal friend, assistant, and biographer of Sherlock Holmes in Arthur Conan Doyle’s detective stories.
-
D.
Holmes
Holmes is a common English surname borne by numerous notable figures, including writers, jurists, and fictional characters such as Sherlock Holmes.
-
E.
Holmes
Holmes is a consumer brand best known for its home comfort products such as fans, heaters, and air purifiers.
- 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_69c008d2f91c8190a8178767a35e08fc |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c069f683248190a58beb60f009eafb |
completed | March 22, 2026, 10:15 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c64be1fad88190af07b7053811e3f2 |
completed | March 27, 2026, 9:20 a.m. |
| NEDg | Description generation | batch_69c64c79104c8190b2478dcead58d9cb |
completed | March 27, 2026, 9:23 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c64cd505e08190a9c6152e55e272b4 |
completed | March 27, 2026, 9:24 a.m. |
Created at: March 22, 2026, 4:48 p.m.