Triple

T13602927
Position Surface form Disambiguated ID Type / Status
Subject Meet Joe Black E324987 entity
Predicate character P662 FINISHED
Object Drew
Drew is a supporting character in the film "Meet Joe Black," serving as a corporate executive whose ambition and scheming contrast with the moral core of the story.
 E1050029 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: Drew | Statement: [Meet Joe Black, character, Drew]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Drew
Context triple: [Meet Joe Black, character, Drew]
  • A. Drew
    Drew is a fictional character appearing in the war-themed narrative of "The Dogs of War."
  • B. Drew
    Drew is a Canadian professional ice hockey defenceman best known for his long career with the Los Angeles Kings in the NHL and multiple Stanley Cup and Olympic gold medal wins.
  • C. Drew
    Drew is a surname most prominently associated with American college basketball coach Scott Drew.
  • D. Drew
    Drew is a masculine given name commonly used in English-speaking countries, often as a short form of Andrew.
  • E. Drew
    Drew is a supporting character in the sitcom "Everybody Hates Chris," known as Chris's taller, more popular younger brother.
  • 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: Drew
Triple: [Meet Joe Black, character, Drew]
Generated description
Drew is a supporting character in the film "Meet Joe Black," serving as a corporate executive whose ambition and scheming contrast with the moral core of the story.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Drew
Target entity description: Drew is a supporting character in the film "Meet Joe Black," serving as a corporate executive whose ambition and scheming contrast with the moral core of the story.
  • A. Drew
    Drew is a fictional character appearing in the war-themed narrative of "The Dogs of War."
  • B. Drew
    Drew is a supporting character in the sitcom "Everybody Hates Chris," known as Chris's taller, more popular younger brother.
  • C. Drew
    Drew is an American entrepreneur best known as the co-founder and CEO of the cloud storage company Dropbox.
  • D. Drew
    Drew is a surname most prominently associated with American college basketball coach Scott Drew.
  • E. Drew
    Drew is a masculine given name commonly used in English-speaking countries, often as a short form of Andrew.
  • 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_69d80769eaf081909d82f44e484d6113 completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dbb07ca07481909c45da551ea61ab4 completed April 12, 2026, 2:47 p.m.
NED1 Entity disambiguation (via context triple) batch_69f77f93ec588190993baec788d22670 completed May 3, 2026, 5:02 p.m.
NEDg Description generation batch_69f780bc40f481908191fec9a563e547 completed May 3, 2026, 5:07 p.m.
NED2 Entity disambiguation (via description) batch_69f7817b8c408190b7211ba8fd892f75 completed May 3, 2026, 5:10 p.m.
Created at: April 9, 2026, 9:49 p.m.