Triple
T21842671
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | William Kong |
E539292
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | The Warlords |
—
|
NE NERFINISHED |
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: The Warlords | Statement: [William Kong, notableWork, The Warlords]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: The Warlords Context triple: [William Kong, notableWork, The Warlords]
-
A.
The Warlords
chosen
The Warlords is a 2007 Chinese historical war drama film set in the Qing dynasty, known for its intense battle scenes and exploration of brotherhood and betrayal.
-
B.
Warlords
Warlords is the nickname of the U.S. Marine Corps' 2nd Marine Regiment, an infantry unit known for its combat deployments and role within the 2nd Marine Division.
-
C.
Warlord
Warlord is a 2016 studio album by Swedish rapper Yung Lean, known for its dark, experimental production and introspective lyrics.
-
D.
King of Battle
"King of Battle" is the traditional motto and nickname of the U.S. Army Field Artillery Branch, highlighting its decisive role in combat.
-
E.
The War Lord
The War Lord is a 1965 historical drama film starring Charlton Heston as a conflicted Norman knight in medieval Normandy, directed by Franklin J. Schaffner.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e0c476c3c88190a92d08ebb59a128a |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69f0a7ad76d48190a1905cfdbe866323 |
completed | April 28, 2026, 12:27 p.m. |
Created at: April 16, 2026, 6:55 p.m.