Triple
T36555496
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Oliphaunt |
E901687
|
entity |
| Predicate | inUniverseTopic |
P118002
|
FINISHED |
| Object | tales of far lands |
—
|
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: tales of far lands | Statement: [Oliphaunt, inUniverseTopic, tales of far lands]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: inUniverseTopic Context triple: [Oliphaunt, inUniverseTopic, tales of far lands]
-
A.
inUniverse
Indicates that one entity exists, occurs, or is set within the fictional or conceptual universe defined by another entity.
-
B.
inUniverseTheme
chosen
Indicates that a theme or motif exists within and is relevant to the internal, fictional universe of a work, as opposed to being purely meta or external.
-
C.
inUniverseIssue
Indicates that an issue, event, or problem occurs within the fictional universe or narrative world itself, rather than being about real-world or external production matters.
-
D.
inUniverseInterest
Indicates that one entity has an interest in or affinity for another entity within the context of a specific fictional or defined universe.
-
E.
inUniverseUse
Indicates that something is used or occurs within a particular fictional or conceptual universe, as opposed to in the real world or another 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_69f76e634e9481908c9ba1b87ab87c26 |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_69fd44474ed48190ac372e4c88d762ed |
completed | May 8, 2026, 2:02 a.m. |
| PD | Predicate disambiguation | batch_69fd41ef28a48190a66959be5c964461 |
completed | May 8, 2026, 1:52 a.m. |
Created at: May 3, 2026, 4:11 p.m.