Triple

T12385694
Position Surface form Disambiguated ID Type / Status
Subject Daniel Mandell E295857 entity
Predicate edited P1932 FINISHED
Object Desire
Desire is a 1936 romantic crime comedy film starring Marlene Dietrich and Gary Cooper, noted for its blend of sophisticated humor and suspense.
E439756 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: Desire | Statement: [Daniel Mandell, edited, Desire]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Desire
Context triple: [Daniel Mandell, edited, Desire]
  • A. Desire
    Desire is one of the immortal, anthropomorphic personifications known as the Endless in Neil Gaiman’s Sandman universe, embodying the concept of longing and want.
  • B. Desire
    Desire is a feminine given name of English origin that historically conveys a sense of longing or wishfulness.
  • C. Desire
    "Desire" is a politically charged hip-hop album by Pharoahe Monch known for its intricate lyricism and soulful, socially conscious production.
  • D. Desire
    Desire is a 1976 studio album by Bob Dylan, noted for its storytelling lyrics, prominent violin arrangements, and songs like "Hurricane" and "Sara."
  • E. Desire
    "Desire" is a hit rock song by U2, known for its Bo Diddley–inspired rhythm and prominent role in the band's late-1980s work.
  • 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: Desire
Triple: [Daniel Mandell, edited, Desire]
Generated description
Desire is a 1936 romantic crime comedy film starring Marlene Dietrich and Gary Cooper, noted for its blend of sophisticated humor and suspense.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Desire
Target entity description: Desire is a 1936 romantic crime comedy film starring Marlene Dietrich and Gary Cooper, noted for its blend of sophisticated humor and suspense.
  • A. Desire chosen
    Desire is a 1936 romantic comedy crime film starring Marlene Dietrich and Gary Cooper, noted for its blend of sophisticated humor and jewel-heist intrigue.
  • B. Desire
    "Desire" is a pop/disco song by Andy Gibb, released posthumously and remembered as one of his notable solo recordings.
  • C. Desire
    Desire is a 1976 studio album by Bob Dylan, noted for its storytelling lyrics, prominent violin arrangements, and songs like "Hurricane" and "Sara."
  • D. Desire
    Desire is a feminine given name of English origin that historically conveys a sense of longing or wishfulness.
  • E. Desire
    Desire is one of the immortal, anthropomorphic personifications known as the Endless in Neil Gaiman’s Sandman universe, embodying the concept of longing and want.
  • F. None of above.

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_69d6ad9e653c8190b1473c860ee53dae completed April 8, 2026, 7:33 p.m.
NER Named-entity recognition batch_69d93fbd489c819098233a111442762e completed April 10, 2026, 6:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69f62ac939bc819081629b9eef20c4e7 completed May 2, 2026, 4:48 p.m.
NEDg Description generation batch_69f62c7b28588190839c35c19856d16f completed May 2, 2026, 4:55 p.m.
NED2 Entity disambiguation (via description) batch_69f62e403a308190a2bba3fefc420932 completed May 2, 2026, 5:02 p.m.
Created at: April 8, 2026, 9:54 p.m.