Triple

T10752245
Position Surface form Disambiguated ID Type / Status
Subject Down with Love E253597 entity
Predicate leadCharacter P1668 FINISHED
Object Catcher Block
Catcher Block is the charming, womanizing journalist played by Ewan McGregor in the 2003 romantic comedy film "Down with Love."
 E882746 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: Catcher Block | Statement: [Down with Love, leadCharacter, Catcher Block]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Catcher Block
Context triple: [Down with Love, leadCharacter, Catcher Block]
  • A. The Exception
    "The Exception" is a 2016 World War II romantic thriller film in which a German officer is sent to investigate exiled Kaiser Wilhelm II and becomes entangled with a mysterious Dutch maid.
  • B. An Exception to the Rule
    "An Exception to the Rule" is a song by the band Population Me.
  • C. Blockers
    Blockers is a 2018 American comedy film about overprotective parents trying to stop their daughters’ prom-night sex pact.
  • D. Catch Us If You Can
    "Catch Us If You Can" is a 1965 British pop rock song by The Dave Clark Five that became one of the band's signature hits during the British Invasion era.
  • E. Ghost Catchers
    Ghost Catchers is a 1944 musical comedy film featuring the comedy duo Olsen and Johnson in a spooky, nightclub-set ghost-hunting romp.
  • 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: Catcher Block
Triple: [Down with Love, leadCharacter, Catcher Block]
Generated description
Catcher Block is the charming, womanizing journalist played by Ewan McGregor in the 2003 romantic comedy film "Down with Love."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Catcher Block
Target entity description: Catcher Block is the charming, womanizing journalist played by Ewan McGregor in the 2003 romantic comedy film "Down with Love."
  • A. The Exception
    "The Exception" is a 2016 World War II romantic thriller film in which a German officer is sent to investigate exiled Kaiser Wilhelm II and becomes entangled with a mysterious Dutch maid.
  • B. An Exception to the Rule
    "An Exception to the Rule" is a song by the band Population Me.
  • C. Blockers
    Blockers is a 2018 American comedy film about overprotective parents trying to stop their daughters’ prom-night sex pact.
  • D. Catch Us If You Can
    "Catch Us If You Can" is a 1965 British pop rock song by The Dave Clark Five that became one of the band's signature hits during the British Invasion era.
  • E. Ghost Catchers
    Ghost Catchers is a 1944 musical comedy film featuring the comedy duo Olsen and Johnson in a spooky, nightclub-set ghost-hunting romp.
  • 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_69dbdb897f7c81909002f2478613eff8 completed April 12, 2026, 5:51 p.m.
NEDg Description generation batch_69dd4367104c8190b83a7877be011b11 completed April 13, 2026, 7:26 p.m.
NED2 Entity disambiguation (via description) batch_69de01eae1bc819092dcd48328eea943 completed April 14, 2026, 8:59 a.m.
Created at: April 8, 2026, 9:15 p.m.