Triple
T14760221
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Percival C. McLeach |
E346837
|
entity |
| Predicate | speciesTargeted |
P58405
|
FINISHED |
| Object | golden eagle |
—
|
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: golden eagle | Statement: [Percival C. McLeach, speciesTargeted, golden eagle]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: speciesTargeted Context triple: [Percival C. McLeach, speciesTargeted, golden eagle]
-
A.
typicalTargetSpecies
Indicates the species that is most commonly or characteristically targeted or affected by a given action, process, or agent.
-
B.
targetOrganism
chosen
Indicates that an action, process, or effect is directed toward or intended to impact a particular organism.
-
C.
speciesType
Indicates the specific biological species category to which an entity belongs.
-
D.
targetsDiseaseVector
Indicates that an entity is directed at, designed to affect, or intended to control a particular disease-carrying vector organism.
-
E.
aimedAtBy
Indicates that one entity serves as the target or goal toward which another entity directs an action, intention, or focus.
- 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_69d822e8896c819091169882f9b20486 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69dec7f207dc819088a53f717736a121 |
completed | April 14, 2026, 11:04 p.m. |
| PD | Predicate disambiguation | batch_69de8c02e5c08190943c27594026faf7 |
completed | April 14, 2026, 6:48 p.m. |
Created at: April 10, 2026, 1:30 a.m.