Triple
T34231165
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Between the Lions |
E878197
|
entity |
| Predicate | mainCharactersSpecies |
P39813
|
FINISHED |
| Object | lions |
—
|
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: lions | Statement: [Between the Lions, mainCharactersSpecies, lions]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: mainCharactersSpecies Context triple: [Between the Lions, mainCharactersSpecies, lions]
-
A.
associatedCharacterSpecies
Indicates that one entity is related to, or linked with, the species of a particular character.
-
B.
protagonistSpecies
chosen
Indicates that an entity is the species or kind of creature to which the protagonist of a story or scenario belongs.
-
C.
fictionalSpecies
Indicates that the subject is a species that exists only in fiction or imaginary works, rather than in real life.
-
D.
memberSpecies
Indicates that a particular species is a constituent or member of a larger biological or taxonomic group.
-
E.
introducesCharacterSpecies
Indicates that an entity presents or brings into a context the species to which a character belongs.
- 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_69f349b16d0481908754e3069f05e0c1 |
completed | April 30, 2026, 12:23 p.m. |
| NER | Named-entity recognition | batch_69fcf825ca7081909d06b0df33eb33f9 |
completed | May 7, 2026, 8:37 p.m. |
| PD | Predicate disambiguation | batch_69fcf42160f0819096812a8bf590875e |
completed | May 7, 2026, 8:20 p.m. |
Created at: May 1, 2026, 1:56 a.m.