Triple

T11793920
Position Surface form Disambiguated ID Type / Status
Subject GMA Films E280456 entity
Predicate notableWork P4 FINISHED
Object Deathrow
"Deathrow" is a critically acclaimed Filipino crime drama film known for its gritty portrayal of a young man on death row in the Philippine prison system.
 E946963 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: Deathrow | Statement: [GMA Films, notableWork, Deathrow]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Deathrow
Context triple: [GMA Films, notableWork, Deathrow]
  • A. Murder City
    "Murder City" is a punk rock song by Green Day from their politically charged concept album *21st Century Breakdown*.
  • B. Murder City
    Murder City is a British television crime drama series featuring Tom Wisdom in a prominent role.
  • C. Lazarus Pit
    The Lazarus Pit is a mystical pool in DC Comics known for its ability to resurrect or rejuvenate individuals, often at the cost of their sanity.
  • D. Zabivaka
    Zabivaka is the wolf character that served as the official mascot for major international football tournaments hosted by Russia, including the 2018 FIFA World Cup.
  • E. The Arcatraz
    The Arcatraz is a high-level, prison-themed dungeon instance located in the Tempest Keep complex on the shattered world of Outland in World of Warcraft.
  • 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: Deathrow
Triple: [GMA Films, notableWork, Deathrow]
Generated description
"Deathrow" is a critically acclaimed Filipino crime drama film known for its gritty portrayal of a young man on death row in the Philippine prison system.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Deathrow
Target entity description: "Deathrow" is a critically acclaimed Filipino crime drama film known for its gritty portrayal of a young man on death row in the Philippine prison system.
  • A. Murder City
    "Murder City" is a punk rock song by Green Day from their politically charged concept album *21st Century Breakdown*.
  • B. Murder City
    Murder City is a British television crime drama series featuring Tom Wisdom in a prominent role.
  • C. Lazarus Pit
    The Lazarus Pit is a mystical pool in DC Comics known for its ability to resurrect or rejuvenate individuals, often at the cost of their sanity.
  • D. Zabivaka
    Zabivaka is the wolf character that served as the official mascot for major international football tournaments hosted by Russia, including the 2018 FIFA World Cup.
  • E. The Arcatraz
    The Arcatraz is a high-level, prison-themed dungeon instance located in the Tempest Keep complex on the shattered world of Outland in World of Warcraft.
  • 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_69d6ab258b808190b1735835c841e3a4 completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d8a5a082d08190a42541396a06ed98 completed April 10, 2026, 7:24 a.m.
NED1 Entity disambiguation (via context triple) batch_69f09115c66c8190b0a3e775bdf575c1 completed April 28, 2026, 10:51 a.m.
NEDg Description generation batch_69f0bd40108c8190863a60cf01cc7201 completed April 28, 2026, 1:59 p.m.
NED2 Entity disambiguation (via description) batch_69f0ef7e9f388190b33f6c16abadfde9 completed April 28, 2026, 5:33 p.m.
Created at: April 8, 2026, 9:42 p.m.