Triple

T19520568
Position Surface form Disambiguated ID Type / Status
Subject Charlotte "Charlie" Blackwood E488390 entity
Predicate nickname P55 FINISHED
Object Charlie
Charlie is the callsign and nickname of Charlotte "Charlie" Blackwood, the civilian Top Gun instructor and love interest in the film "Top Gun."
E1380240 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: [Charlotte "Charlie" Blackwood, nickname, Charlie]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Charlie
Context triple: [Charlotte "Charlie" Blackwood, nickname, 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: [Charlotte "Charlie" Blackwood, nickname, Charlie]
Generated description
Charlie is the callsign and nickname of Charlotte "Charlie" Blackwood, the civilian Top Gun instructor and love interest in the film "Top Gun."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Charlie
Target entity description: Charlie is the callsign and nickname of Charlotte "Charlie" Blackwood, the civilian Top Gun instructor and love interest in the film "Top Gun."
  • A. Charlie
    Charlie is the nickname of Charlie Frye, an American football quarterback and coach.
  • B. Charlie
    Charlie is the first name of Charlie Swan, the fictional police chief and Bella Swan’s father in the Twilight series.
  • C. Charlie
    Charlie is the son of professional golfer Tiger Woods and his former wife Elin Nordegren.
  • D. Charlie
    Charlie is a person whose full name is Charlie Watson.
  • E. Charlie
    Charlie is a common English given name, often used as a diminutive of Charles or Charlotte.
  • 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_69d8e8da8bec819081f400199491ccc3 completed April 10, 2026, 12:11 p.m.
NER Named-entity recognition batch_69e6359feb808190ba94563831adc720 completed April 20, 2026, 2:18 p.m.
NED1 Entity disambiguation (via context triple) batch_6a07472af0b881909e5bada0955b52bb completed May 15, 2026, 4:17 p.m.
NEDg Description generation batch_6a0747f6b1d48190a3e70576ddb4feb2 completed May 15, 2026, 4:21 p.m.
NED2 Entity disambiguation (via description) batch_6a07492259488190a8c405598f9c8878 completed May 15, 2026, 4:26 p.m.
Created at: April 10, 2026, 1:40 p.m.