Triple

T10287186
Position Surface form Disambiguated ID Type / Status
Subject Bud Cort E241260 entity
Predicate directed P7373 FINISHED
Object Ted & Venus
Ted & Venus is a 1991 dark romantic comedy film about an obsessive man’s delusional pursuit of a woman, notable as a rare feature directed by actor Bud Cort.
 E852172 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: Ted & Venus | Statement: [Bud Cort, directed, Ted & Venus]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Ted & Venus
Context triple: [Bud Cort, directed, Ted & Venus]
  • A. The Vern
    The Vern is the informal name for George Washington University's Mount Vernon Campus in Washington, D.C.
  • B. Venus as a Boy
    "Venus as a Boy" is a dreamy, ethereal song by Icelandic artist Björk, known for its lush string arrangements and sensual, abstract lyrics.
  • C. Mars and Venus
    "Mars and Venus" is a mythological painting by French Neoclassical artist Louis Lagrenée depicting the Roman gods of war and love in an allegorical scene.
  • D. Blonde Venus
    Blonde Venus is a 1932 pre-Code Hollywood drama film starring Marlene Dietrich as a nightclub singer whose life unravels amid love, sacrifice, and scandal.
  • E. Talky Tina
    Talky Tina is the sinister talking doll from the classic TV series "The Twilight Zone," known for terrorizing a man who mistreats her owner.
  • 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: Ted & Venus
Triple: [Bud Cort, directed, Ted & Venus]
Generated description
Ted & Venus is a 1991 dark romantic comedy film about an obsessive man’s delusional pursuit of a woman, notable as a rare feature directed by actor Bud Cort.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Ted & Venus
Target entity description: Ted & Venus is a 1991 dark romantic comedy film about an obsessive man’s delusional pursuit of a woman, notable as a rare feature directed by actor Bud Cort.
  • A. The Vern
    The Vern is the informal name for George Washington University's Mount Vernon Campus in Washington, D.C.
  • B. Venus as a Boy
    "Venus as a Boy" is a dreamy, ethereal song by Icelandic artist Björk, known for its lush string arrangements and sensual, abstract lyrics.
  • C. Mars and Venus
    "Mars and Venus" is a mythological painting by French Neoclassical artist Louis Lagrenée depicting the Roman gods of war and love in an allegorical scene.
  • D. Blonde Venus
    Blonde Venus is a 1932 pre-Code Hollywood drama film starring Marlene Dietrich as a nightclub singer whose life unravels amid love, sacrifice, and scandal.
  • E. Talky Tina
    Talky Tina is the sinister talking doll from the classic TV series "The Twilight Zone," known for terrorizing a man who mistreats her owner.
  • 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_69d381aaafc08190af475ef58dc16aba completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d4d2b924908190879a7b6b70e0109a completed April 7, 2026, 9:47 a.m.
NED1 Entity disambiguation (via context triple) batch_69d6f84d432c8190a7d33e6c9f8ba8f2 completed April 9, 2026, 12:52 a.m.
NEDg Description generation batch_69d6fcaee26c8190a19f7d07a63531f6 completed April 9, 2026, 1:11 a.m.
NED2 Entity disambiguation (via description) batch_69d6fd879ab88190b0a47295f5d7ad4d completed April 9, 2026, 1:14 a.m.
Created at: April 6, 2026, 11:40 a.m.