Triple

T10972141
Position Surface form Disambiguated ID Type / Status
Subject Jordana Brewster E259266 entity
Predicate notableWork P4 FINISHED
Object D.E.B.S.
D.E.B.S. is a 2004 action-comedy film that parodies spy movies by following a secret academy of schoolgirl superspies and their encounters with a notorious female criminal mastermind.
 E897533 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: D.E.B.S. | Statement: [Jordana Brewster, notableWork, D.E.B.S.]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: D.E.B.S.
Context triple: [Jordana Brewster, notableWork, D.E.B.S.]
  • A. The Del
    The Del is a historic, Victorian beachfront resort in Coronado, California, renowned for its distinctive red-roofed architecture and status as a National Historic Landmark.
  • B. Debub
    Debub is a southern administrative region of Eritrea known for its highland landscapes, agriculture, and historical sites.
  • C. DEB
    DEB is the abbreviation for the Deutscher Eishockey-Bund, the governing body for ice hockey in Germany.
  • D. DEB
    DEB is the IATA airport code for Debrecen International Airport in Debrecen, Hungary.
  • E. Cold Squad
    Cold Squad is a Canadian police procedural television series centered on a team of detectives who investigate unsolved homicide cases.
  • 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: D.E.B.S.
Triple: [Jordana Brewster, notableWork, D.E.B.S.]
Generated description
D.E.B.S. is a 2004 action-comedy film that parodies spy movies by following a secret academy of schoolgirl superspies and their encounters with a notorious female criminal mastermind.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: D.E.B.S.
Target entity description: D.E.B.S. is a 2004 action-comedy film that parodies spy movies by following a secret academy of schoolgirl superspies and their encounters with a notorious female criminal mastermind.
  • A. The Del
    The Del is a historic, Victorian beachfront resort in Coronado, California, renowned for its distinctive red-roofed architecture and status as a National Historic Landmark.
  • B. Debub
    Debub is a southern administrative region of Eritrea known for its highland landscapes, agriculture, and historical sites.
  • C. DEB
    DEB is the abbreviation for the Deutscher Eishockey-Bund, the governing body for ice hockey in Germany.
  • D. DEB
    DEB is the IATA airport code for Debrecen International Airport in Debrecen, Hungary.
  • E. Cold Squad
    Cold Squad is a Canadian police procedural television series centered on a team of detectives who investigate unsolved homicide cases.
  • 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_69d6aa895f4c8190887a15460ef622f4 completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d7719b5edc81908c1019f81e78bd2e completed April 9, 2026, 9:30 a.m.
NED1 Entity disambiguation (via context triple) batch_69e2d7a0b3dc819084fbda3227caf5b5 completed April 18, 2026, 1 a.m.
NEDg Description generation batch_69e2ff1ffb8c8190ba97f3c2e3c8c601 completed April 18, 2026, 3:48 a.m.
NED2 Entity disambiguation (via description) batch_69e3261cc4f48190ba0e5645f37cd4b5 completed April 18, 2026, 6:35 a.m.
Created at: April 8, 2026, 9:24 p.m.