Triple

T9727140
Position Surface form Disambiguated ID Type / Status
Subject Bloc Party E235641 entity
Predicate hasSingle P3282 FINISHED
Object Traps
"Traps" is a song by the British indie rock band Bloc Party, released as a single showcasing their energetic, guitar-driven style.
 E816590 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: Traps | Statement: [Bloc Party, hasSingle, Traps]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Traps
Context triple: [Bloc Party, hasSingle, Traps]
  • A. Traps
    "Traps" is a novel by MacKenzie Scott (formerly MacKenzie Bezos), known for its interwoven narratives about four women whose lives collide over a tense four-day period.
  • B. The Trap
    "The Trap" is a horror novel by Tabitha King that delves into psychological terror and the darker sides of human relationships in a small-town setting.
  • C. The Trap
    The Trap is a 1966 British adventure drama film set in the Canadian wilderness, starring Rita Tushingham and Oliver Reed.
  • D. Trampas
    Trampas is a recurring antagonist in Owen Wister’s Western novel *The Virginian*, known for his rivalry with the title character and embodiment of lawless frontier values.
  • E. Time Trap
    Time Trap is a 2017 science fiction adventure film about a group of students who discover a cave where time passes at drastically different speeds.
  • 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: Traps
Triple: [Bloc Party, hasSingle, Traps]
Generated description
"Traps" is a song by the British indie rock band Bloc Party, released as a single showcasing their energetic, guitar-driven style.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Traps
Target entity description: "Traps" is a song by the British indie rock band Bloc Party, released as a single showcasing their energetic, guitar-driven style.
  • A. Traps
    "Traps" is a novel by MacKenzie Scott (formerly MacKenzie Bezos), known for its interwoven narratives about four women whose lives collide over a tense four-day period.
  • B. The Trap
    "The Trap" is a horror novel by Tabitha King that delves into psychological terror and the darker sides of human relationships in a small-town setting.
  • C. The Trap
    The Trap is a 1966 British adventure drama film set in the Canadian wilderness, starring Rita Tushingham and Oliver Reed.
  • D. Trampas
    Trampas is a recurring antagonist in Owen Wister’s Western novel *The Virginian*, known for his rivalry with the title character and embodiment of lawless frontier values.
  • E. Time Trap
    Time Trap is a 2017 science fiction adventure film about a group of students who discover a cave where time passes at drastically different speeds.
  • 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_69ca84d0fad481909cdd45aa77416c48 completed March 30, 2026, 2:12 p.m.
NER Named-entity recognition batch_69cd9e7af544819090a8a1adec41943c completed April 1, 2026, 10:38 p.m.
NED1 Entity disambiguation (via context triple) batch_69d19fb208a48190864f8f085da83db7 completed April 4, 2026, 11:33 p.m.
NEDg Description generation batch_69d1a1057e0c819096cc0984c9a83bb9 completed April 4, 2026, 11:38 p.m.
NED2 Entity disambiguation (via description) batch_69d1a184af3081908ce2932218244e7d completed April 4, 2026, 11:40 p.m.
Created at: March 30, 2026, 8:21 p.m.