Triple

T23032344
Position Surface form Disambiguated ID Type / Status
Subject After Life E573496 entity
Predicate hasCharacter P2308 FINISHED
Object Anne
Anne is a supporting character in the British dark comedy-drama series "After Life," appearing in scenes that explore themes of grief, connection, and everyday kindness.
E1568169 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: Anne | Statement: [After Life, hasCharacter, Anne]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Anne
Context triple: [After Life, hasCharacter, Anne]
  • A. Anne
    Anne is the protagonist of "The Darkest Hour," around whom the film’s central conflict and emotional journey revolve.
  • B. Anne
    Anne is one of the central child protagonists in Enid Blyton’s Famous Five adventure series, known for her kindness, domestic sense, and cautious nature.
  • C. Anne
    Anne is one of the child protagonists in Enid Blyton’s Famous Five series, known for her cautious nature and love of home comforts during the group’s adventures.
  • D. Anne
    Anne is one of the central child protagonists in Enid Blyton’s Famous Five series, known for her kindness, domestic sense, and participation in the group’s adventurous mysteries.
  • E. Anne
    Anne is a notable work created by Simon Heath, recognized within his body of artistic output.
  • 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: Anne
Triple: [After Life, hasCharacter, Anne]
Generated description
Anne is a supporting character in the British dark comedy-drama series "After Life," appearing in scenes that explore themes of grief, connection, and everyday kindness.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Anne
Target entity description: Anne is a supporting character in the British dark comedy-drama series "After Life," appearing in scenes that explore themes of grief, connection, and everyday kindness.
  • A. Anne
    Anne is a central female character in the Australian coming-of-age film "The FJ Holden," involved in the romantic and social struggles of the story’s young protagonists.
  • B. Anne
    Anne is the protagonist of "The Darkest Hour," around whom the film’s central conflict and emotional journey revolve.
  • C. Anne
    Anne is one of the central child protagonists in Enid Blyton’s Famous Five series, known for her kindness, domestic sense, and participation in the group’s adventurous mysteries.
  • D. Anne
    Anne is one of the child protagonists in Enid Blyton’s Famous Five series, known for her cautious nature and love of home comforts during the group’s adventures.
  • E. Anne
    Anne is the central character in the short story "In the Gloaming," around whom the narrative’s emotional and thematic developments revolve.
  • 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_69e245b911188190bc3d96326c847969 completed April 17, 2026, 2:37 p.m.
NER Named-entity recognition batch_69f184822a90819081907d72c76770b0 completed April 29, 2026, 4:09 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0c0ad076e88190b0b507263535baa9 completed May 19, 2026, 7:01 a.m.
NEDg Description generation batch_6a0c0cc0802081909986480d05315422 completed May 19, 2026, 7:09 a.m.
NED2 Entity disambiguation (via description) batch_6a0c0db1ebf88190a3c2f74af6fe3541 completed May 19, 2026, 7:13 a.m.
Created at: April 17, 2026, 3:53 p.m.