Triple
T16348847
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nessus |
E397005
|
entity |
| Predicate | poisonInvolved |
P116077
|
FINISHED |
| Object | Lernaean Hydra’s venom |
—
|
LITERAL 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: Lernaean Hydra’s venom | Statement: [Nessus, poisonInvolved, Lernaean Hydra’s venom]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: poisonInvolved Context triple: [Nessus, poisonInvolved, Lernaean Hydra’s venom]
-
A.
poisonUsed
chosen
Indicates that one entity employed poison as a means to harm, kill, or incapacitate another entity.
-
B.
toxicTo
Indicates that one entity causes harm, poisoning, or adverse effects to another when exposed or applied.
-
C.
toxinType
Indicates the specific kind or category of toxin associated with an entity.
-
D.
venomous
Indicates that an organism possesses venom and can inject or deliver it to another organism, typically as a means of defense or predation.
-
E.
toxicityRoute
Indicates the route or pathway through which a toxic effect or substance is delivered or exposed to an entity.
- F. None of above.
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_69d87f26864c819088365ca381a003c2 |
completed | April 10, 2026, 4:40 a.m. |
| NER | Named-entity recognition | batch_69e2da10ef64819092633e8b32e98f5d |
completed | April 18, 2026, 1:10 a.m. |
| PD | Predicate disambiguation | batch_69e226f37ecc819082af58b29b4e39d1 |
completed | April 17, 2026, 12:26 p.m. |
Created at: April 10, 2026, 5:07 a.m.