Triple

T3287588
Position Surface form Disambiguated ID Type / Status
Subject FX E69019 entity
Predicate sisterChannel P5818 FINISHED
Object FXM
FXM is an American cable television channel owned by FX Networks that primarily airs movies, including contemporary films and classic titles.
 E345556 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: FXM | Statement: [FX, sisterChannel, FXM]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: FXM
Context triple: [FX, sisterChannel, FXM]
  • A. FMX
    FMX (FireMonkey) is a cross-platform application development framework used in Delphi for building native GUI applications on Windows, macOS, iOS, and Android.
  • B. Fon
    Fon is a major Gbe language of West Africa, primarily spoken by the Fon people in Benin and neighboring countries.
  • C. MXP
    MXP is the IATA airport code for Milan Malpensa Airport, the largest international airport serving the Milan metropolitan area in Italy.
  • D. FFM
    FFM is an abbreviation commonly used for the Montreal World Film Festival, an international film festival held annually in Montreal, Canada.
  • E. YMX
    YMX is the IATA airport code for Montréal–Mirabel International Airport, a major cargo and aerospace hub located northwest of Montreal, Canada.
  • 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: FXM
Triple: [FX, sisterChannel, FXM]
Generated description
FXM is an American cable television channel owned by FX Networks that primarily airs movies, including contemporary films and classic titles.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: FXM
Target entity description: FXM is an American cable television channel owned by FX Networks that primarily airs movies, including contemporary films and classic titles.
  • A. FMX
    FMX (FireMonkey) is a cross-platform application development framework used in Delphi for building native GUI applications on Windows, macOS, iOS, and Android.
  • B. Fon
    Fon is a major Gbe language of West Africa, primarily spoken by the Fon people in Benin and neighboring countries.
  • C. MXP
    MXP is the IATA airport code for Milan Malpensa Airport, the largest international airport serving the Milan metropolitan area in Italy.
  • D. FFM
    FFM is an abbreviation commonly used for the Montreal World Film Festival, an international film festival held annually in Montreal, Canada.
  • E. YMX
    YMX is the IATA airport code for Montréal–Mirabel International Airport, a major cargo and aerospace hub located northwest of Montreal, Canada.
  • 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_69ad859d45748190b0742408c954b39f completed March 8, 2026, 2:20 p.m.
NER Named-entity recognition batch_69adb058e00881908fdf0a23208860d4 completed March 8, 2026, 5:22 p.m.
NED1 Entity disambiguation (via context triple) batch_69b2e85f71508190b194b4d383d7ee32 completed March 12, 2026, 4:22 p.m.
NEDg Description generation batch_69b2e8d165488190bdb6c07257f7502a completed March 12, 2026, 4:24 p.m.
NED2 Entity disambiguation (via description) batch_69b2ecfd3c20819089bc0b2141aee8eb completed March 12, 2026, 4:42 p.m.
Created at: March 8, 2026, 3:10 p.m.