Triple
T15652997
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bounty Killer |
E376358
|
entity |
| Predicate | alsoKnownAs |
P39
|
FINISHED |
| Object | Warlord |
E741725
|
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: Warlord | Statement: [Bounty Killer, alsoKnownAs, Warlord]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Warlord Context triple: [Bounty Killer, alsoKnownAs, Warlord]
-
A.
Warlord
chosen
Warlord is a 2016 studio album by Swedish rapper Yung Lean, known for its dark, experimental production and introspective lyrics.
-
B.
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.
-
C.
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.
-
D.
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.
-
E.
The Besieger
The Besieger was the famous epithet of Demetrius I of Macedon, a Hellenistic king renowned for his innovative and formidable siege warfare tactics.
- 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_69d85cd1564c8190991adda63bfab4b0 |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69e04ef089948190902ec22f4d7bc932 |
completed | April 16, 2026, 2:52 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff6797954c8190ac05ee3db634efa7 |
completed | May 9, 2026, 4:57 p.m. |
Created at: April 10, 2026, 4:15 a.m.