Triple

T6628272
Position Surface form Disambiguated ID Type / Status
Subject The Flight Attendant E149856 entity
Predicate starring P1507 FINISHED
Object Callie Hernandez
Callie Hernandez is an American actress known for her roles in film and television, including prominent appearances in projects like "The Flight Attendant," "La La Land," and "Alien: Covenant."
 E622329 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: Callie Hernandez | Statement: [The Flight Attendant, starring, Callie Hernandez]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Callie Hernandez
Context triple: [The Flight Attendant, starring, Callie Hernandez]
  • A. Lauren Vélez
    Lauren Vélez is an American actress best known for her role as Lieutenant Maria LaGuerta on the television series "Dexter."
  • B. Ariel Perez
    Ariel Perez is a musician known for performing with the band Born of You.
  • C. Natalie Figueroa
    Natalie Figueroa is a fictional prison administrator and later warden in the television series "Orange Is the New Black."
  • D. Molly Hernandez
    Molly Hernandez is a super-strong, teenage mutant and member of the Runaways in Marvel’s Runaways series.
  • E. Natalie Martinez
    Natalie Martinez is an American actress known for her roles in films like "Death Race" and "End of Watch" as well as television series such as "Under the Dome" and "Kingdom."
  • 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: Callie Hernandez
Triple: [The Flight Attendant, starring, Callie Hernandez]
Generated description
Callie Hernandez is an American actress known for her roles in film and television, including prominent appearances in projects like "The Flight Attendant," "La La Land," and "Alien: Covenant."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Callie Hernandez
Target entity description: Callie Hernandez is an American actress known for her roles in film and television, including prominent appearances in projects like "The Flight Attendant," "La La Land," and "Alien: Covenant."
  • A. Lauren Vélez
    Lauren Vélez is an American actress best known for her role as Lieutenant Maria LaGuerta on the television series "Dexter."
  • B. Ariel Perez
    Ariel Perez is a musician known for performing with the band Born of You.
  • C. Natalie Figueroa
    Natalie Figueroa is a fictional prison administrator and later warden in the television series "Orange Is the New Black."
  • D. Molly Hernandez
    Molly Hernandez is a super-strong, teenage mutant and member of the Runaways in Marvel’s Runaways series.
  • E. Natalie Martinez
    Natalie Martinez is an American actress known for her roles in films like "Death Race" and "End of Watch" as well as television series such as "Under the Dome" and "Kingdom."
  • 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_69c687ee50048190aa151765bef16193 completed March 27, 2026, 1:36 p.m.
NER Named-entity recognition batch_69c6afa2e4a48190ba3c70013bab14f2 completed March 27, 2026, 4:26 p.m.
NED1 Entity disambiguation (via context triple) batch_69c723b575a08190a3e0b1f233c36ba0 completed March 28, 2026, 12:41 a.m.
NEDg Description generation batch_69c724a4f64481908676d15a09e9db28 completed March 28, 2026, 12:45 a.m.
NED2 Entity disambiguation (via description) batch_69c725814d188190bd158292b34a553f completed March 28, 2026, 12:49 a.m.
Created at: March 27, 2026, 1:59 p.m.