Triple

T6975990
Position Surface form Disambiguated ID Type / Status
Subject First Daughter E161718 entity
Predicate character P662 FINISHED
Object James Lansome
James Lansome is a fictional character appearing in the political thriller film "First Daughter."
E633757 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: James Lansome | Statement: [First Daughter, character, James Lansome]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: James Lansome
Context triple: [First Daughter, character, James Lansome]
  • A. James Laxton
    James Laxton is an American cinematographer best known for his acclaimed, visually distinctive work on the Oscar-winning film "Moonlight."
  • B. Edward Blount
    Edward Blount was a prominent early 17th-century London stationer and publisher best known for co-publishing Shakespeare’s First Folio.
  • C. Philip Sansom
    Philip Sansom was a British abolitionist active in the late 18th century who helped establish one of the first organized campaigns to end the transatlantic slave trade.
  • D. Alexander Lillington
    Alexander Lillington was a North Carolina Patriot militia officer and Revolutionary War leader noted for his prominent role in early American independence efforts.
  • E. Anthony Salvin
    Anthony Salvin was a prominent 19th-century English architect best known for his work on the restoration and design of medieval-style castles, country houses, and churches.
  • 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: James Lansome
Triple: [First Daughter, character, James Lansome]
Generated description
James Lansome is a fictional character appearing in the political thriller film "First Daughter."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: James Lansome
Target entity description: James Lansome is a fictional character appearing in the political thriller film "First Daughter."
  • A. James Laxton
    James Laxton is an American cinematographer best known for his acclaimed, visually distinctive work on the Oscar-winning film "Moonlight."
  • B. Edward Blount
    Edward Blount was a prominent early 17th-century London stationer and publisher best known for co-publishing Shakespeare’s First Folio.
  • C. Philip Sansom
    Philip Sansom was a British abolitionist active in the late 18th century who helped establish one of the first organized campaigns to end the transatlantic slave trade.
  • D. Alexander Lillington
    Alexander Lillington was a North Carolina Patriot militia officer and Revolutionary War leader noted for his prominent role in early American independence efforts.
  • E. Anthony Salvin
    Anthony Salvin was a prominent 19th-century English architect best known for his work on the restoration and design of medieval-style castles, country houses, and churches.
  • 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_69c68854a0d88190bc0bf82263f1afce completed March 27, 2026, 1:38 p.m.
NER Named-entity recognition batch_69c6db3d3ab08190b107f3229c357dd2 completed March 27, 2026, 7:32 p.m.
NED1 Entity disambiguation (via context triple) batch_69c761ab41b0819084d26c10bb763f8e completed March 28, 2026, 5:05 a.m.
NEDg Description generation batch_69c763b0d5cc8190bdd82fc8a5a95ef1 completed March 28, 2026, 5:14 a.m.
NED2 Entity disambiguation (via description) batch_69c76435fd2c819099143ea12f21d095 completed March 28, 2026, 5:16 a.m.
Created at: March 27, 2026, 2:31 p.m.