Triple

T12327068
Position Surface form Disambiguated ID Type / Status
Subject Dan Futterman E293857 entity
Predicate actedIn P1668 FINISHED
Object Enough
Enough is a 2002 thriller film starring Jennifer Lopez as a woman who fights back against her abusive husband.
 E974460 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: Enough | Statement: [Dan Futterman, actedIn, Enough]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Enough
Context triple: [Dan Futterman, actedIn, Enough]
  • A. Enough
    Enough is the English translation of the Arabic word "Kefaya," widely recognized as the slogan and name of an Egyptian protest movement opposing political repression and authoritarian rule.
  • B. Alright
    "Alright" is a politically charged, Grammy-winning hip-hop anthem by Kendrick Lamar that became a modern protest song and rallying cry against racial injustice.
  • C. Alright
    "Alright" is a song featured on John Legend's debut studio album "Get Lifted."
  • D. Had Enough
    "Had Enough" is a melodic trap song by Don Toliver featuring Quavo and Offset, known for its atmospheric production and appearance on the Cactus Jack compilation album "JackBoys."
  • E. Good Enough
    "Good Enough" is a song titled track associated with the artist Mojo.
  • 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: Enough
Triple: [Dan Futterman, actedIn, Enough]
Generated description
Enough is a 2002 thriller film starring Jennifer Lopez as a woman who fights back against her abusive husband.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Enough
Target entity description: Enough is a 2002 thriller film starring Jennifer Lopez as a woman who fights back against her abusive husband.
  • A. Enough
    Enough is the English translation of the Arabic word "Kefaya," widely recognized as the slogan and name of an Egyptian protest movement opposing political repression and authoritarian rule.
  • B. Alright
    "Alright" is a song featured on John Legend's debut studio album "Get Lifted."
  • C. Alright
    "Alright" is a politically charged, Grammy-winning hip-hop anthem by Kendrick Lamar that became a modern protest song and rallying cry against racial injustice.
  • D. Had Enough
    "Had Enough" is a melodic trap song by Don Toliver featuring Quavo and Offset, known for its atmospheric production and appearance on the Cactus Jack compilation album "JackBoys."
  • E. Good Enough
    "Good Enough" is a song titled track associated with the artist Mojo.
  • 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_69d6ab6ae0dc8190b1522a9c1c55c114 completed April 8, 2026, 7:24 p.m.
NER Named-entity recognition batch_69d93f4f90a881908c5060dd197744d1 completed April 10, 2026, 6:19 p.m.
NED1 Entity disambiguation (via context triple) batch_69f61e8f0c708190ac16a391089ab747 completed May 2, 2026, 3:55 p.m.
NEDg Description generation batch_69f61f5e20cc8190a84f50ddded76974 completed May 2, 2026, 3:59 p.m.
NED2 Entity disambiguation (via description) batch_69f6203ef5008190af9103460b096cff completed May 2, 2026, 4:03 p.m.
Created at: April 8, 2026, 9:53 p.m.