Triple

T1790640
Position Surface form Disambiguated ID Type / Status
Subject The Departed E39486 entity
Predicate mainCharacter P1183 FINISHED
Object Dignam
Dignam is a sharp-tongued, tough-as-nails police sergeant in the crime thriller film "The Departed," known for his brutal honesty and volatile temper.
 E197796 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: Dignam | Statement: [The Departed, mainCharacter, Dignam]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Dignam
Context triple: [The Departed, mainCharacter, Dignam]
  • A. Guilfoyle
    Guilfoyle is a surname most prominently associated in contemporary American culture with television personality and political figure Kimberly Guilfoyle.
  • B. McGillicuddy
    McGillicuddy is an Irish-origin surname best known as the birth name of legendary American baseball manager Connie Mack.
  • C. Kennelly
    Kennelly is a surname most notably associated with Arthur E. Kennelly, an influential electrical engineer and physicist known for his work on alternating current theory and the ionosphere.
  • D. Kelleher
    Kelleher is a surname most notably associated with Herb Kelleher, the co-founder and longtime CEO of Southwest Airlines.
  • E. O’Flaherty
    O’Flaherty is the birth surname of American author Kate Chopin, known for her pioneering works of feminist literature in the late 19th century.
  • 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: Dignam
Triple: [The Departed, mainCharacter, Dignam]
Generated description
Dignam is a sharp-tongued, tough-as-nails police sergeant in the crime thriller film "The Departed," known for his brutal honesty and volatile temper.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Dignam
Target entity description: Dignam is a sharp-tongued, tough-as-nails police sergeant in the crime thriller film "The Departed," known for his brutal honesty and volatile temper.
  • A. Guilfoyle
    Guilfoyle is a surname most prominently associated in contemporary American culture with television personality and political figure Kimberly Guilfoyle.
  • B. McGillicuddy
    McGillicuddy is an Irish-origin surname best known as the birth name of legendary American baseball manager Connie Mack.
  • C. Kennelly
    Kennelly is a surname most notably associated with Arthur E. Kennelly, an influential electrical engineer and physicist known for his work on alternating current theory and the ionosphere.
  • D. Kelleher
    Kelleher is a surname most notably associated with Herb Kelleher, the co-founder and longtime CEO of Southwest Airlines.
  • E. O’Flaherty
    O’Flaherty is the birth surname of American author Kate Chopin, known for her pioneering works of feminist literature in the late 19th century.
  • 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_69a88631854081909723959921e45c2b completed March 4, 2026, 7:21 p.m.
NER Named-entity recognition batch_69aa6512804c8190a5743c10bd37f83f completed March 6, 2026, 5:24 a.m.
NED1 Entity disambiguation (via context triple) batch_69ada9aa10b881909923b8d0f3a30ee6 completed March 8, 2026, 4:54 p.m.
NEDg Description generation batch_69adab05cf6c81909f4713664f508ad9 completed March 8, 2026, 4:59 p.m.
NED2 Entity disambiguation (via description) batch_69adaeb31430819083d033a3890eba49 completed March 8, 2026, 5:15 p.m.
Created at: March 4, 2026, 7:32 p.m.