Triple

T10322989
Position Surface form Disambiguated ID Type / Status
Subject Rain Phoenix E242685 entity
Predicate notableWork P4 FINISHED
Object Hitch
"Hitch" is a film featuring Rain Phoenix that contributed to her recognition as an actress.
 E389407 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: Hitch | Statement: [Rain Phoenix, notableWork, Hitch]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Hitch
Context triple: [Rain Phoenix, notableWork, Hitch]
  • A. Hitch
    Hitch is a 2005 romantic comedy film starring Will Smith as a professional "date doctor" who helps men woo the women of their dreams, only to struggle with his own love life.
  • B. Hitched
    "Hitched" is a lighthearted mystery novel by Carol Higgins Clark featuring her recurring sleuth Regan Reilly as she investigates a missing wedding dress and a tangle of pre-nuptial crimes.
  • C. Crank
    Crank is a 2006 high-octane action thriller film starring Jason Statham as a poisoned hitman racing against time to stay alive.
  • D. The Driver
    The Driver is the laconic, unnamed street racer portrayed by James Taylor in the 1971 cult road movie "Two-Lane Blacktop."
  • E. The Driver
    The Driver is a 1978 neo-noir crime thriller film written and directed by Walter Hill, centered on a taciturn, highly skilled getaway driver involved in a tense cat-and-mouse game with a relentless detective.
  • 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: Hitch
Triple: [Rain Phoenix, notableWork, Hitch]
Generated description
"Hitch" is a film featuring Rain Phoenix that contributed to her recognition as an actress.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Hitch
Target entity description: "Hitch" is a film featuring Rain Phoenix that contributed to her recognition as an actress.
  • A. Hitch chosen
    Hitch is a 2005 romantic comedy film starring Will Smith as a professional "date doctor" who helps men woo the women of their dreams, only to struggle with his own love life.
  • B. Hitched
    "Hitched" is a lighthearted mystery novel by Carol Higgins Clark featuring her recurring sleuth Regan Reilly as she investigates a missing wedding dress and a tangle of pre-nuptial crimes.
  • C. Crank
    Crank is a 2006 high-octane action thriller film starring Jason Statham as a poisoned hitman racing against time to stay alive.
  • D. The Driver
    The Driver is the laconic, unnamed street racer portrayed by James Taylor in the 1971 cult road movie "Two-Lane Blacktop."
  • E. The Driver
    The Driver is a 1978 neo-noir crime thriller film written and directed by Walter Hill, centered on a taciturn, highly skilled getaway driver involved in a tense cat-and-mouse game with a relentless detective.
  • 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_69d381af787481908bc401325c760a88 completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d4d6cdb6cc8190b37ca4494287128b completed April 7, 2026, 10:05 a.m.
NED1 Entity disambiguation (via context triple) batch_69d7503f3df88190bc5acb5e5295f787 completed April 9, 2026, 7:07 a.m.
NEDg Description generation batch_69d7516a4d088190b3e3b86956b6b821 completed April 9, 2026, 7:12 a.m.
NED2 Entity disambiguation (via description) batch_69d75200eecc819094e261c9fa7c75f5 completed April 9, 2026, 7:15 a.m.
Created at: April 6, 2026, 11:50 a.m.