Triple

T12683551
Position Surface form Disambiguated ID Type / Status
Subject Hesher E303006 entity
Predicate mainCharacter P1183 FINISHED
Object Nicole
Nicole is a central character in the dark comedy-drama film "Hesher," serving as a key emotional anchor in the story’s exploration of grief and unconventional relationships.
 E1000422 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: Nicole | Statement: [Hesher, mainCharacter, Nicole]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Nicole
Context triple: [Hesher, mainCharacter, Nicole]
  • A. Nicole
    Nicole is a central character in Margaret Atwood's dystopian novel "The Testaments," whose story helps expose and challenge the oppressive regime of Gilead.
  • B. Nicole
    Nicole is a feminine given name of Greek origin meaning "victory of the people," commonly used in many English- and French-speaking countries.
  • C. Nicole
    Nicole is a fictional character from the American sitcom "The Gregory Hines Show."
  • D. Nicole
    Nicole is a fictional character played by English actress Kelly Reilly, known from her work in film and television dramas.
  • E. Nicole
    Nicole is a fictional character portrayed by Canadian actress Lindy Booth.
  • 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: Nicole
Triple: [Hesher, mainCharacter, Nicole]
Generated description
Nicole is a central character in the dark comedy-drama film "Hesher," serving as a key emotional anchor in the story’s exploration of grief and unconventional relationships.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Nicole
Target entity description: Nicole is a central character in the dark comedy-drama film "Hesher," serving as a key emotional anchor in the story’s exploration of grief and unconventional relationships.
  • A. Nicole
    Nicole is a central character in Margaret Atwood's dystopian novel "The Testaments," whose story helps expose and challenge the oppressive regime of Gilead.
  • B. Nicole
    Nicole is a fictional character from the American sitcom "The Gregory Hines Show."
  • C. Nicole
    Nicole is a fictional character played by English actress Kelly Reilly, known from her work in film and television dramas.
  • D. Nicole
    Nicole is a sharp-tongued, down-to-earth maid in Molière’s comedy "Le Bourgeois gentilhomme," often serving as a voice of reason and satire against her master’s pretensions.
  • E. Nicole
    Nicole is a fictional character portrayed by Canadian actress Lindy Booth.
  • 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_69d7bdee64a08190801c6d470aefd723 completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d961d68358819095bdaab8adf1dcf0 completed April 10, 2026, 8:47 p.m.
NED1 Entity disambiguation (via context triple) batch_69f67c7a79908190b83a868090990bbe completed May 2, 2026, 10:36 p.m.
NEDg Description generation batch_69f67db4dd2081909a238e368645e899 completed May 2, 2026, 10:41 p.m.
NED2 Entity disambiguation (via description) batch_69f67ececce8819080335e67bd747057 completed May 2, 2026, 10:46 p.m.
Created at: April 9, 2026, 5:21 p.m.