Triple

T10752224
Position Surface form Disambiguated ID Type / Status
Subject Down with Love E253597 entity
Predicate screenwriter P2831 FINISHED
Object Eve Ahlert
Eve Ahlert is a screenwriter best known for co-writing the retro-styled romantic comedy film "Down with Love."
E887936 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: Eve Ahlert | Statement: [Down with Love, screenwriter, Eve Ahlert]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Eve Ahlert
Context triple: [Down with Love, screenwriter, Eve Ahlert]
  • A. Eve Baird
    Eve Baird is a tough, tactical former NATO counter-terrorism agent who becomes the guardian and leader of a group of magical scholars in the fantasy-adventure TV series "The Librarians."
  • B. Eve Trowbridge
    Eve Trowbridge is the resourceful female protagonist in the 1932 adventure-horror film "The Most Dangerous Game," who becomes entangled in a deadly hunt on a remote island.
  • C. Eve Ross
    Eve Ross is the wife of British journalist and author Peter Hitchens.
  • D. Eve Rand
    Eve Rand is a central character in the novel and film "Being There," portrayed as the wealthy, influential wife of a dying industrialist who becomes closely involved with the enigmatic gardener Chance.
  • E. Rachel Winter
    Rachel Winter is an American film producer best known for her Academy Award–nominated work on the drama "Dallas Buyers Club."
  • 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: Eve Ahlert
Triple: [Down with Love, screenwriter, Eve Ahlert]
Generated description
Eve Ahlert is a screenwriter best known for co-writing the retro-styled romantic comedy film "Down with Love."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Eve Ahlert
Target entity description: Eve Ahlert is a screenwriter best known for co-writing the retro-styled romantic comedy film "Down with Love."
  • A. Eve Baird
    Eve Baird is a tough, tactical former NATO counter-terrorism agent who becomes the guardian and leader of a group of magical scholars in the fantasy-adventure TV series "The Librarians."
  • B. Eve Trowbridge
    Eve Trowbridge is the resourceful female protagonist in the 1932 adventure-horror film "The Most Dangerous Game," who becomes entangled in a deadly hunt on a remote island.
  • C. Eve Ross
    Eve Ross is the wife of British journalist and author Peter Hitchens.
  • D. Eve Rand
    Eve Rand is a central character in the novel and film "Being There," portrayed as the wealthy, influential wife of a dying industrialist who becomes closely involved with the enigmatic gardener Chance.
  • E. Rachel Winter
    Rachel Winter is an American film producer best known for her Academy Award–nominated work on the drama "Dallas Buyers Club."
  • 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_69d6aa5e51e8819095f06881cecf152e completed April 8, 2026, 7:19 p.m.
NER Named-entity recognition batch_69d71dc184d0819085f8bc4edb034377 completed April 9, 2026, 3:32 a.m.
NED1 Entity disambiguation (via context triple) batch_69de84a63de0819085f1e982c8348811 completed April 14, 2026, 6:17 p.m.
NEDg Description generation batch_69de8e6f3fac8190bcd1675978d6d6d7 completed April 14, 2026, 6:58 p.m.
NED2 Entity disambiguation (via description) batch_69de8fa679cc81909cb51035e5403ce9 completed April 14, 2026, 7:04 p.m.
Created at: April 8, 2026, 9:15 p.m.