Triple
T29595071
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nahum Gardner |
E754269
|
entity |
| Predicate | animalFate |
P167491
|
FINISHED |
| Object | livestock become deformed |
—
|
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: livestock become deformed | Statement: [Nahum Gardner, animalFate, livestock become deformed]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: animalFate Context triple: [Nahum Gardner, animalFate, livestock become deformed]
-
A.
involvedAnimal
Indicates that an animal participates in, is affected by, or is otherwise directly connected to the event or situation described.
-
B.
sacrificedAnimal
Indicates that one entity killed or offered an animal as a sacrifice, typically for a ritual, religious, or ceremonial purpose, in relation to another entity or context.
-
C.
sourceAnimal
Indicates that one entity is the animal from which another entity (such as a product, material, or sample) is derived or obtained.
-
D.
animalForm
Indicates that one entity takes the shape, body, or characteristics of an animal.
-
E.
animalProtagonist
Indicates that the main character or central figure in a narrative is an animal.
- 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_69f0ef836ac88190bd809dc58b5ec907 |
completed | April 28, 2026, 5:33 p.m. |
| NER | Named-entity recognition | batch_69f66db6925481909220a05cf31fb741 |
completed | May 2, 2026, 9:33 p.m. |
| PD | Predicate disambiguation | batch_69f6659d36208190b01412600a4ed57d |
completed | May 2, 2026, 8:59 p.m. |
| PDg | Predicate description generation | batch_69f6691da93081909deaf680614fc900 |
completed | May 2, 2026, 9:14 p.m. |
Created at: April 28, 2026, 6:17 p.m.