Triple
T33790607
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | aldrin |
E865920
|
entity |
| Predicate | hasModeOfAction |
P197491
|
FINISHED |
| Object | interferes with the nervous system of insects |
—
|
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: interferes with the nervous system of insects | Statement: [aldrin, hasModeOfAction, interferes with the nervous system of insects]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasModeOfAction Context triple: [aldrin, hasModeOfAction, interferes with the nervous system of insects]
-
A.
hasActs
Indicates that an entity is associated with one or more actions, performances, or deeds it carries out or is responsible for.
-
B.
hasModeOfDetection
Indicates that one entity is identified, measured, or observed using a specified method or technique of detection.
-
C.
hasInteractionMode
Indicates the way in which two entities engage or interact with each other, specifying the manner, channel, or pattern of their interaction.
-
D.
hasAct
Indicates that an entity performs, participates in, or is associated with a specific act or action.
-
E.
hasTargetSiteOfAction
Indicates that an agent (such as a substance or process) exerts its primary effect on a specified biological site or location.
- F. None of above. chosen
Provenance (4 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_69f3498f99f481909cb271f4965a7594 |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_69fe96c2647c819082989f11e1ae3d35 |
completed | May 9, 2026, 2:06 a.m. |
| PD | Predicate disambiguation | batch_69fe928615448190af939e5a94be55bb |
completed | May 9, 2026, 1:48 a.m. |
| PDg | Predicate description generation | batch_69fe96c0b760819093737292d33df165 |
completed | May 9, 2026, 2:06 a.m. |
Created at: May 1, 2026, 1:45 a.m.