Triple
T16765625
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Aquemini |
E407454
|
entity |
| Predicate | notableGuestPerformer |
P10756
|
FINISHED |
| Object | Witchdoctor |
E416767
|
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: Witchdoctor | Statement: [Aquemini, notableGuestPerformer, Witchdoctor]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Witchdoctor Context triple: [Aquemini, notableGuestPerformer, Witchdoctor]
-
A.
Witchdoctor
chosen
Witchdoctor is an American rapper and producer from Atlanta, best known for his work with the Dungeon Family collective and his spiritually themed Southern hip hop.
-
B.
Degory Priest
Degory Priest was an English Pilgrim and early settler of Plymouth Colony who traveled on the Mayflower and participated in the founding governance of the colony.
-
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.
Warlock
Warlock is the central character of the 1977 film "Handle with Care," around whom the movie’s narrative and conflicts revolve.
-
E.
Warlock
"Warlock" is a historical adventure novel by Wilbur Smith set in ancient Egypt, continuing the saga of the master strategist and mage Taita.
- 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_69d8839174188190909f190097207065 |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e3abf126408190bd0365eca150f745 |
completed | April 18, 2026, 4:06 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00a52ff9d481909675c7e1f81191dc |
completed | May 10, 2026, 3:33 p.m. |
Created at: April 10, 2026, 5:21 a.m.