Triple

T9999367
Position Surface form Disambiguated ID Type / Status
Subject Paul Greengrass E197283 entity
Predicate directed P7373 FINISHED
Object Green Zone E212665 NE FINISHED

How this triple was built (2 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: Green Zone | Statement: [Paul Greengrass, directed, Green Zone]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Green Zone
Context triple: [Paul Greengrass, directed, Green Zone]
  • A. Green Zone, Baghdad chosen
    The Green Zone in Baghdad is a heavily fortified district that serves as the center of Iraq’s government and many foreign diplomatic missions.
  • B. Ground Zero
    Ground Zero is the site in Lower Manhattan where the World Trade Center once stood and which became a central location for remembrance and rebuilding after the September 11, 2001 terrorist attacks.
  • C. Ground Zero
    Ground Zero is a survival horror video game level or scenario known for its intense atmosphere and challenging gameplay.
  • D. Ground Zero
    Ground Zero is a thriller novel by F. Paul Wilson featuring his recurring character Repairman Jack as he investigates a deadly conspiracy linked to the aftermath of the 9/11 attacks.
  • E. Ground Zero
    Ground Zero is a 1987 Australian political thriller film about a cameraman uncovering a government cover-up surrounding British nuclear tests in the outback.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69ca82f3b61c81908ecc2c1c96dbc2e4 completed March 30, 2026, 2:04 p.m.
NER Named-entity recognition batch_69cdcc8dc9c081909b6d20909ada09cf completed April 2, 2026, 1:55 a.m.
NED1 Entity disambiguation (via context triple) batch_69d2820063f48190886619fe26b0cc94 completed April 5, 2026, 3:38 p.m.
Created at: March 30, 2026, 8:51 p.m.