Triple
T12582013
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hobbit |
E300360
|
entity |
| Predicate | originInFiction |
P15757
|
FINISHED |
| Object | first fully described in The Hobbit (1937) |
—
|
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: first fully described in The Hobbit (1937) | Statement: [Hobbit, originInFiction, first fully described in The Hobbit (1937)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: originInFiction Context triple: [Hobbit, originInFiction, first fully described in The Hobbit (1937)]
-
A.
fictionalOrigin
chosen
Indicates that one entity originates from, or was first introduced within, a fictional work, universe, or narrative created by another entity.
-
B.
basedOnInFiction
Indicates that a fictional work, character, or element is derived from, inspired by, or modeled after another real or fictional source.
-
C.
hasPlaceInFiction
Indicates that a fictional work or element is associated with, set in, or takes place within a particular fictional location or setting.
-
D.
positionInFiction
Indicates that one entity holds a specific role, status, or placement within a fictional work or narrative.
-
E.
countryOfOriginFictional
Indicates that a fictional work, character, or element originates from or is associated with a particular country within its narrative or setting.
- 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_69d7bde87b648190bcd0266e9efde098 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d954e6e20481908bca684c4b497c48 |
completed | April 10, 2026, 7:52 p.m. |
| PD | Predicate disambiguation | batch_69d95416cbd88190b2c65196162349bc |
completed | April 10, 2026, 7:48 p.m. |
Created at: April 9, 2026, 5:02 p.m.