Triple
T17685799
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Guiron |
E440883
|
entity |
| Predicate | distinguishingTrait |
P128575
|
FINISHED |
| Object | one of Gamera’s more bizarre adversaries |
—
|
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: one of Gamera’s more bizarre adversaries | Statement: [Guiron, distinguishingTrait, one of Gamera’s more bizarre adversaries]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: distinguishingTrait Context triple: [Guiron, distinguishingTrait, one of Gamera’s more bizarre adversaries]
-
A.
distinction
Indicates that one entity is recognized, treated, or classified as different or separate from another.
-
B.
distinguishingDentalFeature
Indicates that one entity has a dental characteristic that serves to differentiate it from another entity or group.
-
C.
developedTrait
Indicates that an entity has acquired or evolved a particular characteristic, quality, or feature over time.
-
D.
breedingTrait
Indicates that an entity possesses a heritable characteristic that is relevant or targeted in a breeding process or program.
-
E.
biologicalCharacteristic
Indicates that one entity possesses or exhibits a particular biological trait, feature, or property in relation to another.
- 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_69d8b9e940b081908b862bb0e6e89b0d |
completed | April 10, 2026, 8:50 a.m. |
| NER | Named-entity recognition | batch_69e47047d90c8190a172201f3de6db87 |
completed | April 19, 2026, 6:03 a.m. |
| PD | Predicate disambiguation | batch_69e3cde3673c8190a889e14ba1f07dc1 |
completed | April 18, 2026, 6:30 p.m. |
| PDg | Predicate description generation | batch_69e3cfaac2b881909e1140339eb1a0dd |
completed | April 18, 2026, 6:38 p.m. |
Created at: April 10, 2026, 10:02 a.m.