Triple
T20010903
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Growltiger's Last Stand |
E494585
|
entity |
| Predicate | hasSpeciesOfCharacters |
P74771
|
FINISHED |
| Object | cats |
—
|
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: cats | Statement: [Growltiger's Last Stand, hasSpeciesOfCharacters, cats]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasSpeciesOfCharacters Context triple: [Growltiger's Last Stand, hasSpeciesOfCharacters, cats]
-
A.
hasCharacters
Indicates that an entity (such as a work or story) includes or features certain characters as part of its content.
-
B.
hasHumanCharacters
Indicates that the subject includes or features characters that are human beings.
-
C.
hasFlagshipSpecies
Indicates that one entity (typically a site, region, or conservation program) is associated with or represented by a particular flagship species used to promote awareness or protection.
-
D.
hasOnlySpecies
Indicates that an entity is associated exclusively with a single specified species and no others.
-
E.
associatedCharacterSpecies
chosen
Indicates that one entity is related to, or linked with, the species of a particular character.
- 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_69da626b2d748190886981ea90c8b2ea |
completed | April 11, 2026, 3:02 p.m. |
| NER | Named-entity recognition | batch_69e662362df48190abf16129eea39985 |
completed | April 20, 2026, 5:28 p.m. |
| PD | Predicate disambiguation | batch_69e54cdddbd48190becc8b2aa5ab4ef9 |
completed | April 19, 2026, 9:45 p.m. |
Created at: April 11, 2026, 3:33 p.m.