Triple
T4033438
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Force of Evil |
E83767
|
entity |
| Predicate | editedBy |
P1954
|
FINISHED |
| Object |
Arthur Seid
Arthur Seid is a film editor known for his work on the classic 1948 crime drama "Force of Evil."
|
E445602
|
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: Arthur Seid | Statement: [Force of Evil, editedBy, Arthur Seid]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Arthur Seid Context triple: [Force of Evil, editedBy, Arthur Seid]
-
A.
Carl Segaud
Carl Segaud is a French local politician who serves as the mayor of the Parisian suburb Châtenay-Malabry.
-
B.
Sidney Wagner
Sidney Wagner was an American cinematographer known for his work on classic Hollywood films, including the 1946 adaptation of "The Yearling."
-
C.
Arthur Kober
Arthur Kober was an American humorist, playwright, and screenwriter known for his witty short stories and work in Hollywood during the mid-20th century.
-
D.
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.
-
E.
George Pilger
George Pilger is an individual notable enough to be recognized as a bearer of the surname Pilger, though specific widely known biographical details about him are not well documented.
- 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: Arthur Seid Triple: [Force of Evil, editedBy, Arthur Seid]
Generated description
Arthur Seid is a film editor known for his work on the classic 1948 crime drama "Force of Evil."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Arthur Seid Target entity description: Arthur Seid is a film editor known for his work on the classic 1948 crime drama "Force of Evil."
-
A.
Carl Segaud
Carl Segaud is a French local politician who serves as the mayor of the Parisian suburb Châtenay-Malabry.
-
B.
Sidney Wagner
Sidney Wagner was an American cinematographer known for his work on classic Hollywood films, including the 1946 adaptation of "The Yearling."
-
C.
Arthur Kober
Arthur Kober was an American humorist, playwright, and screenwriter known for his witty short stories and work in Hollywood during the mid-20th century.
-
D.
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.
-
E.
George Pilger
George Pilger is an individual notable enough to be recognized as a bearer of the surname Pilger, though specific widely known biographical details about him are not well documented.
- 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_69aed92e29ac819080f7a98b594fec05 |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aefb108fc0819080c8f41da2e558e0 |
completed | March 9, 2026, 4:53 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bb60e9709881909673b8980694902b |
completed | March 19, 2026, 2:35 a.m. |
| NEDg | Description generation | batch_69bb6a458ea88190b7b98fb4f26a936b |
completed | March 19, 2026, 3:15 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69bb6acb7b888190a31c264b131a6687 |
completed | March 19, 2026, 3:17 a.m. |
Created at: March 9, 2026, 3:36 p.m.