Triple

T12758342
Position Surface form Disambiguated ID Type / Status
Subject Joanne Woodward E304918 entity
Predicate notableWork P4 FINISHED
Object Count Three and Pray
Count Three and Pray is a 1955 American drama film set in the post–Civil War South, following a reformed ex-soldier who becomes a minister in his divided hometown.
E1000261 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: Count Three and Pray | Statement: [Joanne Woodward, notableWork, Count Three and Pray]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Count Three and Pray
Context triple: [Joanne Woodward, notableWork, Count Three and Pray]
  • A. Pray About Everything
    "Pray About Everything" is a country song featured on Luke Bryan's debut studio album, "I'll Stay Me."
  • B. Save a Prayer
    "Save a Prayer" is a 1982 synth-pop ballad by British band Duran Duran, known for its atmospheric sound, memorable chorus, and iconic music video filmed in Sri Lanka.
  • C. A Prayer
    "A Prayer" is a poem by James Joyce included in his 1927 collection *Pomes Penyeach*.
  • D. Pray for Me
    "Pray for Me" is a song by English singer-songwriter Laura Marling from her critically acclaimed 2013 album "Once I Was an Eagle."
  • E. Pray for Me
    "Pray for Me" is a hip-hop collaboration by The Weeknd and Kendrick Lamar, best known for its cinematic, high-energy role on the Black Panther film soundtrack.
  • 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: Count Three and Pray
Triple: [Joanne Woodward, notableWork, Count Three and Pray]
Generated description
Count Three and Pray is a 1955 American drama film set in the post–Civil War South, following a reformed ex-soldier who becomes a minister in his divided hometown.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Count Three and Pray
Target entity description: Count Three and Pray is a 1955 American drama film set in the post–Civil War South, following a reformed ex-soldier who becomes a minister in his divided hometown.
  • A. Pray About Everything
    "Pray About Everything" is a country song featured on Luke Bryan's debut studio album, "I'll Stay Me."
  • B. Save a Prayer
    "Save a Prayer" is a 1982 synth-pop ballad by British band Duran Duran, known for its atmospheric sound, memorable chorus, and iconic music video filmed in Sri Lanka.
  • C. A Prayer
    "A Prayer" is a poem by James Joyce included in his 1927 collection *Pomes Penyeach*.
  • D. Pray for Me
    "Pray for Me" is a song by English singer-songwriter Laura Marling from her critically acclaimed 2013 album "Once I Was an Eagle."
  • E. Pray for Me
    "Pray for Me" is a hip-hop collaboration by The Weeknd and Kendrick Lamar, best known for its cinematic, high-energy role on the Black Panther film soundtrack.
  • 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_69d7bdf1fcd081909ffb0e0d6fa3a07d completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d96d8d3eb08190ae998df5cc6d9ba6 completed April 10, 2026, 9:37 p.m.
NED1 Entity disambiguation (via context triple) batch_69f67c9c93248190b77c7d229da64ffb completed May 2, 2026, 10:37 p.m.
NEDg Description generation batch_69f67de172088190b055ace0fdcfd1fd completed May 2, 2026, 10:42 p.m.
NED2 Entity disambiguation (via description) batch_69f67ec570a881909c98471b701999f0 completed May 2, 2026, 10:46 p.m.
Created at: April 9, 2026, 5:27 p.m.