Triple

T18731554
Position Surface form Disambiguated ID Type / Status
Subject Afterschool E458045 entity
Predicate mainCharacter P1183 FINISHED
Object Robert
Robert is the central protagonist of the film "Afterschool," around whom the story’s events and themes revolve.
E1340082 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: Robert | Statement: [Afterschool, mainCharacter, Robert]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Robert
Context triple: [Afterschool, mainCharacter, Robert]
  • A. Thomas
    Thomas is the given name of Thomas Edwards, an English literary critic and poet known for his 18th-century work "The Canons of Criticism."
  • B. Thomas
    Thomas is the formal given name of Tom LaGarde, an American former professional basketball player.
  • C. Thomas
    Thomas is the middle name of the individual Samuel Thomas Wilson.
  • D. Thomas
    Thomas is the given name of Thomas Coke, 2nd Earl of Leicester, a prominent 19th-century British peer and landowner.
  • E. Thomas
    Thomas is a character appearing in the animated series "Exit 9B" from the show "Regular Show."
  • 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: Robert
Triple: [Afterschool, mainCharacter, Robert]
Generated description
Robert is the central protagonist of the film "Afterschool," around whom the story’s events and themes revolve.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Robert
Target entity description: Robert is the central protagonist of the film "Afterschool," around whom the story’s events and themes revolve.
  • A. Robert
    Robert is a central character in the British black comedy film "Death at a Funeral," around whom much of the movie’s chaotic and farcical events unfold.
  • B. Robert
    Robert is a fictional character known primarily for his role in the story of "Betrayal."
  • C. Robert
    Robert is a common masculine given name of Germanic origin, widely used in English-speaking countries.
  • D. Robert
    Robert is a common French surname borne by numerous notable figures across history, including artists, politicians, and scholars.
  • E. Robert
    Robert is the given name of the American singer-songwriter better known by his stage name Bobby Charles, a pioneer of swamp pop and contributor to early rock and roll.
  • 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_69d8d393ba9c8190a8b03b04ddbb0a09 completed April 10, 2026, 10:40 a.m.
NER Named-entity recognition batch_69e56d7854748190b66c4aaadfd67f29 completed April 20, 2026, 12:04 a.m.
NED1 Entity disambiguation (via context triple) batch_6a05325b685c8190a2889755ed931973 completed May 14, 2026, 2:24 a.m.
NEDg Description generation batch_6a053410a8188190992d9fa6130ab372 completed May 14, 2026, 2:31 a.m.
NED2 Entity disambiguation (via description) batch_6a05349009e481909fb757415468aa70 completed May 14, 2026, 2:33 a.m.
Created at: April 10, 2026, 11:51 a.m.