Triple

T13448675
Position Surface form Disambiguated ID Type / Status
Subject 45 Years E320549 entity
Predicate mainCharacter P1183 FINISHED
Object Kate Mercer
Kate Mercer is the introspective, long-married woman at the center of the British drama film "45 Years," whose life is upended by revelations from her husband's past.
 E1040259 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: Kate Mercer | Statement: [45 Years, mainCharacter, Kate Mercer]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Kate Mercer
Context triple: [45 Years, mainCharacter, Kate Mercer]
  • A. Christina Mercer
    Christina Mercer is a contemporary author known for writing young adult and fantasy fiction.
  • B. Meredith Baxter
    Meredith Baxter is an American actress best known for her role as Elyse Keaton on the 1980s television sitcom "Family Ties."
  • C. Sarah O’Meara
    Sarah O’Meara is known as the spouse of Australian film director Paul Cox.
  • D. Jane Bingum
    Jane Bingum is the intelligent, plus-sized lawyer protagonist of the television series "Drop Dead Diva," known for combining sharp legal skills with a compassionate, quirky personality.
  • E. Miranda Cooper
    Miranda Cooper is a British songwriter and producer best known for crafting numerous pop hits, particularly for acts like Girls Aloud and Sugababes.
  • 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: Kate Mercer
Triple: [45 Years, mainCharacter, Kate Mercer]
Generated description
Kate Mercer is the introspective, long-married woman at the center of the British drama film "45 Years," whose life is upended by revelations from her husband's past.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Kate Mercer
Target entity description: Kate Mercer is the introspective, long-married woman at the center of the British drama film "45 Years," whose life is upended by revelations from her husband's past.
  • A. Christina Mercer
    Christina Mercer is a contemporary author known for writing young adult and fantasy fiction.
  • B. Meredith Baxter
    Meredith Baxter is an American actress best known for her role as Elyse Keaton on the 1980s television sitcom "Family Ties."
  • C. Sarah O’Meara
    Sarah O’Meara is known as the spouse of Australian film director Paul Cox.
  • D. Jane Bingum
    Jane Bingum is the intelligent, plus-sized lawyer protagonist of the television series "Drop Dead Diva," known for combining sharp legal skills with a compassionate, quirky personality.
  • E. Miranda Cooper
    Miranda Cooper is a British songwriter and producer best known for crafting numerous pop hits, particularly for acts like Girls Aloud and Sugababes.
  • 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_69d80761e6cc8190a90c844589998ecc completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dbaef758b08190b9aa5ec7082cd417 completed April 12, 2026, 2:40 p.m.
NED1 Entity disambiguation (via context triple) batch_69f73999f8388190b2c578e063341178 completed May 3, 2026, 12:03 p.m.
NEDg Description generation batch_69f73af2b37481908c4d282c1335fe08 completed May 3, 2026, 12:09 p.m.
NED2 Entity disambiguation (via description) batch_69f73b959de88190959335353242031b completed May 3, 2026, 12:12 p.m.
Created at: April 9, 2026, 9:41 p.m.