Triple

T8319356
Position Surface form Disambiguated ID Type / Status
Subject The Fireman E194788 entity
Predicate hasCharacter P2308 FINISHED
Object Martha Quinn
Martha Quinn is an American television personality and one of MTV’s original video jockeys, known for helping define the channel’s early 1980s music culture.
E730262 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: Martha Quinn | Statement: [The Fireman, hasCharacter, Martha Quinn]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Martha Quinn
Context triple: [The Fireman, hasCharacter, Martha Quinn]
  • A. Martha Hennessy
    Martha Hennessy is an American Catholic peace activist and granddaughter of Dorothy Day, known for her involvement in the Catholic Worker Movement and anti-nuclear protests.
  • B. Molly C. Quinn
    Molly C. Quinn is an American actress best known for playing Alexis Castle, the daughter of the title character, on the television series "Castle."
  • C. Maud Sheehan
    Maud Sheehan was the wife of Irish politician and Sinn Féin founder Arthur Griffith.
  • D. Emily Sargent
    Emily Sargent was a British artist and watercolorist, best known for her landscapes and for being part of the culturally prominent Sargent family.
  • E. Emily Sargent
    Emily Sargent was the wife of 19th-century Anglican bishop and prominent public figure Samuel Wilberforce.
  • 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: Martha Quinn
Triple: [The Fireman, hasCharacter, Martha Quinn]
Generated description
Martha Quinn is an American television personality and one of MTV’s original video jockeys, known for helping define the channel’s early 1980s music culture.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Martha Quinn
Target entity description: Martha Quinn is an American television personality and one of MTV’s original video jockeys, known for helping define the channel’s early 1980s music culture.
  • A. Martha Hennessy
    Martha Hennessy is an American Catholic peace activist and granddaughter of Dorothy Day, known for her involvement in the Catholic Worker Movement and anti-nuclear protests.
  • B. Molly C. Quinn
    Molly C. Quinn is an American actress best known for playing Alexis Castle, the daughter of the title character, on the television series "Castle."
  • C. Maud Sheehan
    Maud Sheehan was the wife of Irish politician and Sinn Féin founder Arthur Griffith.
  • D. Emily Sargent
    Emily Sargent was a British artist and watercolorist, best known for her landscapes and for being part of the culturally prominent Sargent family.
  • E. Emily Sargent
    Emily Sargent was the wife of 19th-century Anglican bishop and prominent public figure Samuel Wilberforce.
  • 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_69ca82e7a8a88190a32bb5cc0feb012d completed March 30, 2026, 2:04 p.m.
NER Named-entity recognition batch_69cb7f648e10819081ad1fed870b2b86 completed March 31, 2026, 8:01 a.m.
NED1 Entity disambiguation (via context triple) batch_69cde78855908190a87a0d3456c0e8ef completed April 2, 2026, 3:50 a.m.
NEDg Description generation batch_69cdebf81adc81908feb7b19b5b151c3 completed April 2, 2026, 4:09 a.m.
NED2 Entity disambiguation (via description) batch_69cdecc83e408190b9ba1dc8acf5081b completed April 2, 2026, 4:12 a.m.
Created at: March 30, 2026, 5:55 p.m.