Triple
T16100285
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Howard Kazanjian |
E390597
|
entity |
| Predicate | workedOn |
P3
|
FINISHED |
| Object | The War Lord |
E351283
|
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: The War Lord | Statement: [Howard Kazanjian, workedOn, The War Lord]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: The War Lord Context triple: [Howard Kazanjian, workedOn, The War Lord]
-
A.
The War Lord
chosen
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.
-
B.
The War Master
The War Master is a ruthless incarnation of the Master from Doctor Who, known for his manipulative cunning and pivotal role in the Time War against the Daleks.
-
C.
Warlord
Warlord is a 2016 studio album by Swedish rapper Yung Lean, known for its dark, experimental production and introspective lyrics.
-
D.
The Warrior
"The Warrior" is a notable work by Martin Walsh, likely recognized as one of his significant creative or literary contributions.
-
E.
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.
- 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_69d87f198bc48190a8b7e53ca15b7ead |
completed | April 10, 2026, 4:39 a.m. |
| NER | Named-entity recognition | batch_69e1ff6756948190a7f5ecb375e59701 |
completed | April 17, 2026, 9:37 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fff29f9f2881909b96860ee23d8ada |
completed | May 10, 2026, 2:51 a.m. |
Created at: April 10, 2026, 5 a.m.