Triple
T13469237
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chuck D |
E311584
|
entity |
| Predicate | associatedAct |
P37
|
FINISHED |
| Object | Anthrax |
E416630
|
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: Anthrax | Statement: [Chuck D, associatedAct, Anthrax]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Anthrax Context triple: [Chuck D, associatedAct, Anthrax]
-
A.
Anthrax
chosen
Anthrax is an American thrash metal band, considered one of the genre’s “Big Four” alongside Metallica, Megadeth, and Slayer.
-
B.
Antrax
Antrax is a powerful, ancient artificial intelligence and primary antagonist in Terry Brooks's Shannara fantasy series, known for hoarding lost technology and ruthlessly defending it.
-
C.
Bacillus anthracis
Bacillus anthracis is a Gram-positive, spore-forming bacterium that causes the disease anthrax in humans and animals.
-
D.
Yersinia pestis
Yersinia pestis is a highly virulent bacterium responsible for plague, including the historic pandemics of bubonic, septicemic, and pneumonic forms.
-
E.
tularemia
Tularemia is a rare but potentially serious infectious disease caused by the bacterium Francisella tularensis, which can be transmitted to humans through contact with infected animals, insect bites, or contaminated environments.
- 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_69d806a938b8819097ec43a2229fc7f9 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69dbaf21e46081908a00c9acf54f270f |
completed | April 12, 2026, 2:41 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f74629f1408190b54194fe794be39a |
completed | May 3, 2026, 12:57 p.m. |
Created at: April 9, 2026, 9:42 p.m.