Triple
T2705301
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bilbo Baggins |
E59326
|
entity |
| Predicate | speciesInCanon |
P15758
|
FINISHED |
| Object | Halfling |
—
|
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: Halfling | Statement: [Bilbo Baggins, speciesInCanon, Halfling]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: speciesInCanon Context triple: [Bilbo Baggins, speciesInCanon, Halfling]
-
A.
isGameSpecies
Indicates that an animal species is legally designated and managed as a target for hunting or harvesting.
-
B.
includesSpecies
Indicates that one entity contains or encompasses one or more species as part of its composition or scope.
-
C.
fictionalSpecies
chosen
Indicates that the subject is a species that exists only in fiction or imaginary works, rather than in real life.
-
D.
speciesInUniverse
Indicates that a given species exists within, or is a member of, a particular fictional or defined universe.
-
E.
typeSpecies
Indicates that a species is the designated type species that defines and anchors the taxonomic concept of a higher-level group (such as a genus).
- 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_69ab4ac66bc88190b9e4afa5fc843f72 |
completed | March 6, 2026, 9:44 p.m. |
| NER | Named-entity recognition | batch_69abda559a908190ad5d92c11a398a03 |
completed | March 7, 2026, 7:57 a.m. |
| PD | Predicate disambiguation | batch_69abd82062988190b4292f242ad70b2c |
completed | March 7, 2026, 7:47 a.m. |
Created at: March 6, 2026, 9:55 p.m.