Triple

T16515786
Position Surface form Disambiguated ID Type / Status
Subject Charlie Ebersol E401179 entity
Predicate givenName P17 FINISHED
Object Charlie
Charlie is a television and film producer best known for co-founding the Alliance of American Football and for his work on various reality and documentary projects.
E1218941 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: Charlie | Statement: [Charlie Ebersol, givenName, Charlie]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Charlie
Context triple: [Charlie Ebersol, givenName, Charlie]
  • A. Charlie
    Charlie is a central character in the romantic comedy film "French Kiss," serving as the unfaithful fiancé whose actions set the story’s events in motion.
  • B. Charlie
    Charlie is the given name of English actor and producer Charlie Bewley, known for his role as Demetri in the Twilight film series.
  • C. Charlie
    Charlie is a fictional character from Stephen Adly Guirgis’s gritty stage play "In Arabia We’d All Be Kings," which portrays the lives of struggling New Yorkers in a rapidly gentrifying Hell’s Kitchen.
  • D. Charlie
    Charlie is a classic Revlon perfume line known for its accessible, youthful, and independent image, especially popular from the 1970s onward.
  • E. Charlie
    Charlie is the ambitious New York City hustler and small-time crook who serves as the central protagonist in the crime drama film "The Pope of Greenwich Village."
  • 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: Charlie
Triple: [Charlie Ebersol, givenName, Charlie]
Generated description
Charlie is a television and film producer best known for co-founding the Alliance of American Football and for his work on various reality and documentary projects.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Charlie
Target entity description: Charlie is a television and film producer best known for co-founding the Alliance of American Football and for his work on various reality and documentary projects.
  • A. Charlie
    Charlie is a person whose full name is Charlie Watson.
  • B. Charlie
    Charlie is a fictional character from the television series "Deadwood," known as a loyal friend and ally of Wild Bill Hickok and Seth Bullock.
  • C. Charlie
    Charlie is the given name of English actor and producer Charlie Bewley, known for his role as Demetri in the Twilight film series.
  • D. Charlie
    Charlie is the central protagonist of the apocalyptic horror film "Legion" (2010), a pregnant waitress whose unborn child is believed to be humanity’s last hope.
  • E. Charlie
    Charlie is a fictional character portrayed by American actor Jared Rushton, best known for his roles in late-1980s films.
  • 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_69d883838abc8190bc79cb2d41733ce2 completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e32e7bbfa481909037148cdb4d8996 completed April 18, 2026, 7:10 a.m.
NED1 Entity disambiguation (via context triple) batch_6a006084949081909e8cdfeafa7564de completed May 10, 2026, 10:40 a.m.
NEDg Description generation batch_6a006322c2f48190aa917f122a33165f completed May 10, 2026, 10:51 a.m.
NED2 Entity disambiguation (via description) batch_6a0063fa6f0c8190906856eb07d80973 completed May 10, 2026, 10:54 a.m.
Created at: April 10, 2026, 5:14 a.m.