Triple
T6742928
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lloyd Levin |
E154132
|
entity |
| Predicate | notableWork |
P4
|
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: [Lloyd Levin, notableWork, Green Zone]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Green Zone Context triple: [Lloyd Levin, notableWork, 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 a survival horror video game level or scenario known for its intense atmosphere and challenging gameplay.
-
C.
Black Hawk Down
Black Hawk Down is a 2001 war film directed by Ridley Scott that dramatizes the 1993 U.S. military raid in Mogadishu, Somalia.
-
D.
Witness to War
Witness to War is a documentary-style film by Australian artist and filmmaker George Gittoes that explores the human impact and brutal realities of armed conflict.
-
E.
Dog Soldiers
Dog Soldiers is a 2002 British horror-action film about a squad of soldiers on a training mission in the Scottish Highlands who are besieged by werewolves.
- 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_69c6880d84d8819095d19de2295f26ac |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6d1b3b1448190a94b4b64f01af14a |
completed | March 27, 2026, 6:51 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c70b11b828819084d5a21dde5f1f5b |
completed | March 27, 2026, 10:56 p.m. |
Created at: March 27, 2026, 2:10 p.m.