Triple

T21430232
Position Surface form Disambiguated ID Type / Status
Subject Payback E528663 entity
Predicate character P662 FINISHED
Object Pearl
Pearl is a fictional character from the 1999 crime film "Payback," which stars Mel Gibson as a vengeful antihero navigating the criminal underworld.
 E1483925 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: Pearl | Statement: [Payback, character, Pearl]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Pearl
Context triple: [Payback, character, Pearl]
  • A. Pearl
    "Pearl" is a Middle English alliterative poem, often attributed to the anonymous "Pearl Poet," renowned for its intricate structure and spiritual meditation on loss and salvation.
  • B. Pearl
    "Pearl" is a lesser-known work by screenwriter Stirling Silliphant, likely a film or television script reflecting his characteristic dramatic storytelling.
  • C. Pearl
    Pearl is a supporting character in the BET sitcom "Zoe Ever After," which follows a newly single mother navigating life and career after divorce.
  • D. Pearl
    Pearl is the nickname of Dwayne "Pearl" Washington, a celebrated American basketball player known for his flashy ball-handling and standout college career at Syracuse University.
  • E. Pearl
    Pearl is the anthropomorphized first-class observation coach and one of the main train characters in Andrew Lloyd Webber’s musical "Starlight Express."
  • 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: Pearl
Triple: [Payback, character, Pearl]
Generated description
Pearl is a fictional character from the 1999 crime film "Payback," which stars Mel Gibson as a vengeful antihero navigating the criminal underworld.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Pearl
Target entity description: Pearl is a fictional character from the 1999 crime film "Payback," which stars Mel Gibson as a vengeful antihero navigating the criminal underworld.
  • A. Pearl
    Pearl is the enigmatic and spirited daughter of Hester Prynne in Nathaniel Hawthorne’s novel *The Scarlet Letter*, symbolizing both sin and redemption.
  • B. Pearl
    Pearl is a central character in the animated series "Steven Universe," depicted as a meticulous, graceful Gem warrior who serves as a mentor and guardian to Steven.
  • C. Pearl
    Pearl is a supporting character in the BET sitcom "Zoe Ever After," which follows a newly single mother navigating life and career after divorce.
  • D. Pearl
    Pearl is a song by Melanie Martinez from her concept album "Cry Baby."
  • E. Pearl
    "Pearl" is a lesser-known work by screenwriter Stirling Silliphant, likely a film or television script reflecting his characteristic dramatic storytelling.
  • 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_69e0c455f3688190810bc96365791b0f completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69ee813ef6a8819089511b8f608c9491 completed April 26, 2026, 9:18 p.m.
NED1 Entity disambiguation (via context triple) batch_6a09c2ac2d188190b909826855b4d132 completed May 17, 2026, 1:29 p.m.
NEDg Description generation batch_6a09c33c37e88190b559bbf98e589487 completed May 17, 2026, 1:31 p.m.
NED2 Entity disambiguation (via description) batch_6a09c3c6a208819096b2e4a2c92b3cb0 completed May 17, 2026, 1:33 p.m.
Created at: April 16, 2026, 5:49 p.m.