Triple
T13511036
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Julian Sands |
E321138
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | Warlock |
E397510
|
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: Warlock | Statement: [Julian Sands, notableWork, Warlock]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Warlock Context triple: [Julian Sands, notableWork, Warlock]
-
A.
Warlock
Warlock is a Hearthstone hero class themed around dark magic and demonic powers, often trading its own health for powerful cards and effects.
-
B.
Warlock
chosen
"Warlock" is a historical adventure novel by Wilbur Smith set in ancient Egypt, continuing the saga of the master strategist and mage Taita.
-
C.
Warlock
Warlock is a techno-organic alien mutant in Marvel Comics, best known as a shapeshifting, energy-absorbing member of the New Mutants.
-
D.
Magus
Magus is a mysterious spiritual master in Paulo Coelho’s novel "Brida," guiding the protagonist through her journey of self-discovery and magical initiation.
-
E.
Winter Warlock
Winter Warlock is a reformed magical villain from the classic Rankin/Bass Christmas special "Santa Claus Is Comin' to Town," known for transforming from a fearsome sorcerer into a kindly ally of Kris Kringle.
- 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_69d807629d6c8190998f1b9bb12d2ed0 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dbaf86a6208190be8c18f7a0158f23 |
completed | April 12, 2026, 2:43 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f75490291c8190b5985d8c90ef1af6 |
completed | May 3, 2026, 1:58 p.m. |
Created at: April 9, 2026, 9:43 p.m.