Triple

T13694417
Position Surface form Disambiguated ID Type / Status
Subject No Good Deed E328346 entity
Predicate mainCharacter P1183 FINISHED
Object Terri
Terri is the central protagonist of the thriller film "No Good Deed," around whom the story’s suspenseful and dangerous events unfold.
 E1054533 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: Terri | Statement: [No Good Deed, mainCharacter, Terri]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Terri
Context triple: [No Good Deed, mainCharacter, Terri]
  • A. Terri
    Terri is a common diminutive form of the given name Theresa.
  • B. Terri
    Terri is a supporting character in the comedy film "Beauty Shop," contributing to the ensemble of stylists and clients at the salon.
  • C. Terri
    Terri is a Nigerian singer and songwriter known for his Afrobeats music and work under Wizkid’s Starboy Entertainment label.
  • D. Teressa
    Teressa is a Nicobarese language variety spoken by the indigenous community on Teressa Island in India’s Nicobar archipelago.
  • E. Teri
    Teri is a central character in the film and television series "Soul Food," known as the ambitious, high-powered attorney whose strained relationships with her family drive much of the story’s drama.
  • 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: Terri
Triple: [No Good Deed, mainCharacter, Terri]
Generated description
Terri is the central protagonist of the thriller film "No Good Deed," around whom the story’s suspenseful and dangerous events unfold.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Terri
Target entity description: Terri is the central protagonist of the thriller film "No Good Deed," around whom the story’s suspenseful and dangerous events unfold.
  • A. Terri
    Terri is a common diminutive form of the given name Theresa.
  • B. Terri
    Terri is a supporting character in the comedy film "Beauty Shop," contributing to the ensemble of stylists and clients at the salon.
  • C. Terri
    Terri is a Nigerian singer and songwriter known for his Afrobeats music and work under Wizkid’s Starboy Entertainment label.
  • D. Teressa
    Teressa is a Nicobarese language variety spoken by the indigenous community on Teressa Island in India’s Nicobar archipelago.
  • E. Teri
    Teri is a central character in the film and television series "Soul Food," known as the ambitious, high-powered attorney whose strained relationships with her family drive much of the story’s drama.
  • 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_69d8076ff62081908a7bd79889edd7a0 completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dbc8757b648190a26181efbad09a43 completed April 12, 2026, 4:29 p.m.
NED1 Entity disambiguation (via context triple) batch_69f794514afc8190b334b1fc74a6cdd5 completed May 3, 2026, 6:30 p.m.
NEDg Description generation batch_69f795e361c48190b37060312e7df181 completed May 3, 2026, 6:37 p.m.
NED2 Entity disambiguation (via description) batch_69f796e5c60c8190a19389bc4cdbd658 completed May 3, 2026, 6:41 p.m.
Created at: April 9, 2026, 9:54 p.m.