Triple

T23032346
Position Surface form Disambiguated ID Type / Status
Subject After Life E573496 entity
Predicate hasCharacter P2308 FINISHED
Object Emma
Emma is a character in the dark comedy-drama series "After Life," which follows a grieving man struggling to cope with his wife's death.
E1569574 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: Emma | Statement: [After Life, hasCharacter, Emma]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Emma
Context triple: [After Life, hasCharacter, Emma]
  • A. Emma
    Emma is a common feminine given name of Germanic origin, widely used in English-speaking and many other countries.
  • B. Emma
    "Emma" is a 2009 British television miniseries adaptation of Jane Austen's novel, starring Romola Garai in the title role.
  • C. Emma
    Emma is a central character in Sam Shepard’s play "Curse of the Starving Class," portrayed as a rebellious and sharp-witted teenage girl struggling against her dysfunctional family and bleak circumstances.
  • D. Emma
    Emma is a fictional character portrayed by American actress Ashley Scott, known for her roles in film and television.
  • E. Emma
    Emma is a central character in the sitcom "The Great Indoors," portrayed as a savvy, socially conscious millennial who works on the magazine’s digital team.
  • 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: Emma
Triple: [After Life, hasCharacter, Emma]
Generated description
Emma is a character in the dark comedy-drama series "After Life," which follows a grieving man struggling to cope with his wife's death.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Emma
Target entity description: Emma is a character in the dark comedy-drama series "After Life," which follows a grieving man struggling to cope with his wife's death.
  • A. Emma
    Emma is a fictional character portrayed by American actress Ashley Scott, known for her roles in film and television.
  • B. Emma
    Emma is a central character in the sitcom "The Great Indoors," portrayed as a savvy, socially conscious millennial who works on the magazine’s digital team.
  • C. Emma
    Emma is the protagonist of Taylor Jenkins Reid’s novel "One True Loves," a woman forced to reevaluate love and loyalty when her presumed-dead husband returns just as she is about to remarry.
  • D. Emma
    Emma is the central protagonist of Andrew Lloyd Webber's song cycle and musical "Tell Me on a Sunday," which follows a young Englishwoman navigating love and heartbreak in New York.
  • E. Emma
    Emma is a central character in Sam Shepard’s play "Curse of the Starving Class," portrayed as a rebellious and sharp-witted teenage girl struggling against her dysfunctional family and bleak circumstances.
  • 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_6a0c159ffb7481909b2987e8aea047ca completed May 19, 2026, 7:47 a.m.
NEDg Description generation batch_6a0c17214dc48190be02f8d83c29b90a completed May 19, 2026, 7:54 a.m.
NED2 Entity disambiguation (via description) batch_6a0c17da6a108190b37d1e69e6f24e00 completed May 19, 2026, 7:57 a.m.
Created at: April 17, 2026, 3:53 p.m.