Triple

T23018537
Position Surface form Disambiguated ID Type / Status
Subject The Locket E573100 entity
Predicate character P662 FINISHED
Object Norman Clyde
Norman Clyde is the central male character in the 1946 film noir "The Locket," whose troubled past and complex relationships drive much of the movie’s psychological drama.
E1566548 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: Norman Clyde | Statement: [The Locket, character, Norman Clyde]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Norman Clyde
Context triple: [The Locket, character, Norman Clyde]
  • A. Norman Clyde
    Norman Clyde was a renowned American mountaineer and climber famed for his prolific first ascents and exploration of the Sierra Nevada.
  • B. Norman Grant
    Norman Grant is a fictional character from the science fiction novel "Space" by James A. Michener.
  • C. Norman Reynolds
    Norman Reynolds was a British production designer and art director best known for his Oscar-winning work on the original Star Wars and Raiders of the Lost Ark.
  • D. Norman Houston
    Norman Houston was an American screenwriter known for his work on early Hollywood films, including the musical hit "Broadway Melody."
  • E. Norman Pierce
    Norman Pierce was a British film and stage actor active in the mid-20th century, often appearing in supporting roles in dramas and comedies.
  • 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: Norman Clyde
Triple: [The Locket, character, Norman Clyde]
Generated description
Norman Clyde is the central male character in the 1946 film noir "The Locket," whose troubled past and complex relationships drive much of the movie’s psychological drama.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Norman Clyde
Target entity description: Norman Clyde is the central male character in the 1946 film noir "The Locket," whose troubled past and complex relationships drive much of the movie’s psychological drama.
  • A. Norman Clyde
    Norman Clyde was a renowned American mountaineer and climber famed for his prolific first ascents and exploration of the Sierra Nevada.
  • B. Norman Grant
    Norman Grant is a fictional character from the science fiction novel "Space" by James A. Michener.
  • C. Norman Reynolds
    Norman Reynolds was a British production designer and art director best known for his Oscar-winning work on the original Star Wars and Raiders of the Lost Ark.
  • D. Norman Houston
    Norman Houston was an American screenwriter known for his work on early Hollywood films, including the musical hit "Broadway Melody."
  • E. Norman Pierce
    Norman Pierce was a British film and stage actor active in the mid-20th century, often appearing in supporting roles in dramas and comedies.
  • 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_69e245b764cc8190a51be76f1d9611e1 completed April 17, 2026, 2:37 p.m.
NER Named-entity recognition batch_69f183e64a4c8190b8d29ed638c7fef8 completed April 29, 2026, 4:07 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0bf2ac373481908afa43db415547c0 completed May 19, 2026, 5:18 a.m.
NEDg Description generation batch_6a0bfaf8b2148190b30e1230ea4f9eeb completed May 19, 2026, 5:54 a.m.
NED2 Entity disambiguation (via description) batch_6a0bfc2cb3288190929731dc4dbf170b completed May 19, 2026, 5:59 a.m.
Created at: April 17, 2026, 3:52 p.m.