Triple
T14475006
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 2/7 |
E358944
|
entity |
| Predicate | hasNickname |
P39
|
FINISHED |
| Object | War Dogs |
E358945
|
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: War Dogs | Statement: [2/7, hasNickname, War Dogs]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: War Dogs Context triple: [2/7, hasNickname, War Dogs]
-
A.
War Dogs
War Dogs is a 2016 dark comedy crime film about two young arms dealers exploiting U.S. military contracts, starring Jonah Hill and Miles Teller and directed by Todd Phillips.
-
B.
War Dogs
chosen
War Dogs is the nickname of the 2nd Battalion, 7th Marines, a distinguished infantry battalion of the United States Marine Corps known for its combat history and operational deployments.
-
C.
War Dogs
War Dogs are the covert intelligence and espionage network of Wakanda in the Marvel universe, operating globally to gather information and influence events from the shadows.
-
D.
Road Dogs
Road Dogs is a crime novel by Elmore Leonard that follows the intersecting schemes and betrayals of ex-con Jack Foley and his associates after his release from prison.
-
E.
Olympus Has Fallen
Olympus Has Fallen is a 2013 American action thriller film about a disgraced Secret Service agent who must rescue the U.S. President after a terrorist attack on the White House.
- 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_69d827966698819082e140837737501d |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de91fc1fc48190842b09aa03ba79f8 |
completed | April 14, 2026, 7:14 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd64a0553081909fd88d8f39ed1a01 |
completed | May 8, 2026, 4:20 a.m. |
Created at: April 10, 2026, 1:20 a.m.