Triple

T23467915
Position Surface form Disambiguated ID Type / Status
Subject Alice, Darling E569145 entity
Predicate character P662 FINISHED
Object Tess
Tess is a character in the psychological thriller film "Alice, Darling," contributing to the story’s exploration of friendship and emotional abuse.
 E1589877 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: Tess | Statement: [Alice, Darling, character, Tess]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Tess
Context triple: [Alice, Darling, character, Tess]
  • A. Tess
    Tess is a central character in the musical film "Burlesque," serving as the tough but caring owner and manager of the struggling burlesque club.
  • B. Tess
    Tess is a 1979 period drama film directed by Roman Polanski, adapted from Thomas Hardy’s novel "Tess of the d'Urbervilles."
  • C. Tess
    Tess is a character in the action film "Fast X," part of the long-running Fast & Furious franchise.
  • D. Tess
    Tess is a central angelic character from the television series "Touched by an Angel," known for her wise, no-nonsense guidance to both humans and fellow angels.
  • E. Tess
    Tess is the given name of American poet, essayist, and short story writer Tess Gallagher.
  • 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: Tess
Triple: [Alice, Darling, character, Tess]
Generated description
Tess is a character in the psychological thriller film "Alice, Darling," contributing to the story’s exploration of friendship and emotional abuse.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Tess
Target entity description: Tess is a character in the psychological thriller film "Alice, Darling," contributing to the story’s exploration of friendship and emotional abuse.
  • A. Tess
    Tess is a character in the action film "Fast X," part of the long-running Fast & Furious franchise.
  • B. Tess
    Tess is a central character in the musical film "Burlesque," serving as the tough but caring owner and manager of the struggling burlesque club.
  • C. Tess
    Tess is a central angelic character from the television series "Touched by an Angel," known for her wise, no-nonsense guidance to both humans and fellow angels.
  • D. Tess
    Tess is a 1979 period drama film directed by Roman Polanski, adapted from Thomas Hardy’s novel "Tess of the d'Urbervilles."
  • E. Tess
    Tess is a common diminutive form of the female given name Teresa.
  • 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_69e2458ebd808190b3298163132cfb0b completed April 17, 2026, 2:37 p.m.
NER Named-entity recognition batch_69f1a6fd280c81908aae05f0851466eb completed April 29, 2026, 6:36 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0c8256ede08190a95e0074245e9eff completed May 19, 2026, 3:31 p.m.
NEDg Description generation batch_6a0ca6efb0d88190bf15b18cc3f12482 completed May 19, 2026, 6:07 p.m.
NED2 Entity disambiguation (via description) batch_6a0ca819f6dc8190852bb3c06768ac5a completed May 19, 2026, 6:12 p.m.
Created at: April 17, 2026, 5:54 p.m.