Triple
T22534780
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Reanimation |
E557126
|
entity |
| Predicate | producer |
P490
|
FINISHED |
| Object | Alchemist |
—
|
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: Alchemist | Statement: [Reanimation, producer, Alchemist]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Alchemist Context triple: [Reanimation, producer, Alchemist]
-
A.
Alchemist
Alchemist is the codename for Intel’s first-generation Arc discrete graphics architecture aimed at gaming and high-performance graphics workloads.
-
B.
Alchemist
Alchemist is a playable character class in the action RPG Torchlight that specializes in powerful spellcasting and explosive elemental magic.
-
C.
Alchemist
chosen
Alchemist is an American hip-hop producer and DJ known for his sample-heavy, atmospheric beats and collaborations with numerous prominent rap artists.
-
D.
The Alchemist
The Alchemist is a celebrated satirical comedy play by English dramatist Ben Jonson, first performed in the early 17th century and renowned for its sharp critique of greed and gullibility.
-
E.
The Alchemist
The Alchemist is a 17th-century genre painting by Flemish artist David Teniers the Younger that humorously depicts an alchemist absorbed in his experiments amid a cluttered, detailed interior.
- 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_69e11e57483c8190b0887c4f8ff26446 |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f15ed952f48190b63225e7de131679 |
completed | April 29, 2026, 1:28 a.m. |
Created at: April 16, 2026, 8:51 p.m.