Triple

T8270882
Position Surface form Disambiguated ID Type / Status
Subject Touched by an Angel E193423 entity
Predicate character P662 FINISHED
Object 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.
 E722855 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: [Touched by an Angel, character, Tess]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Tess
Context triple: [Touched by an Angel, 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. Far from the Madding Crowd
    Far from the Madding Crowd is an 1874 novel by Thomas Hardy that follows the romantic and social entanglements of the independent Bathsheba Everdene in rural Victorian England.
  • E. The Farmer’s Daughter
    The Farmer’s Daughter is a 1947 American romantic comedy film starring Loretta Young as a Swedish-American farm girl who becomes involved in politics.
  • 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: [Touched by an Angel, character, Tess]
Generated description
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.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Tess
Target entity description: 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.
  • 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. Far from the Madding Crowd
    Far from the Madding Crowd is an 1874 novel by Thomas Hardy that follows the romantic and social entanglements of the independent Bathsheba Everdene in rural Victorian England.
  • E. The Farmer’s Daughter
    The Farmer’s Daughter is a 1947 American romantic comedy film starring Loretta Young as a Swedish-American farm girl who becomes involved in politics.
  • 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_69ca82e14ae481908ffdb822cd2192bc completed March 30, 2026, 2:04 p.m.
NER Named-entity recognition batch_69cb7986f8cc8190a529dda980dd6e98 completed March 31, 2026, 7:36 a.m.
NED1 Entity disambiguation (via context triple) batch_69cd68470f8481909df50c5b6c3cf50c completed April 1, 2026, 6:47 p.m.
NEDg Description generation batch_69cd6d52763c8190891f88d62be44786 completed April 1, 2026, 7:09 p.m.
NED2 Entity disambiguation (via description) batch_69cd7df568788190a5a219baa65a6a19 completed April 1, 2026, 8:20 p.m.
Created at: March 30, 2026, 5:50 p.m.