Triple
T20661805
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Duma Key |
E507775
|
entity |
| Predicate | follows |
P134
|
FINISHED |
| Object | Blaze |
—
|
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: Blaze | Statement: [Duma Key, follows, Blaze]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Blaze Context triple: [Duma Key, follows, Blaze]
-
A.
Blaze
Blaze is the anthropomorphic orange cat mascot of the Portland Trail Blazers NBA team.
-
B.
Blaze
Blaze is a hostile, floating, fire-based mob in Minecraft’s Nether dimension that attacks players by shooting fireballs.
-
C.
Blaze
Blaze is the fiery horse mascot representing the University of Texas at Arlington’s athletic teams and school spirit.
-
D.
Blaze
Blaze is a song released as a single from the musical project Gypsy Heart.
-
E.
Blaze
chosen
Blaze is a crime novel by Stephen King, published under his Richard Bachman pseudonym, about a small-time con artist who kidnaps a baby in a desperate bid for ransom.
- 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_69e0b4c059bc81908ea762cd73ea4424 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e6b2f2ee4081908df9ba897c9dfc98 |
completed | April 20, 2026, 11:12 p.m. |
Created at: April 16, 2026, 11:44 a.m.