Triple
T16630536
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Merenkahre |
E404065
|
entity |
| Predicate | partOfFictionalWork |
P105687
|
FINISHED |
| Object | British Museum exhibit (fictional) |
—
|
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: British Museum exhibit (fictional) | Statement: [Merenkahre, partOfFictionalWork, British Museum exhibit (fictional)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: partOfFictionalWork Context triple: [Merenkahre, partOfFictionalWork, British Museum exhibit (fictional)]
-
A.
usedInFictionalWork
chosen
Indicates that something (such as a concept, object, or character) appears or is employed within a specific fictional work.
-
B.
hasFictionalWork
Indicates that one entity is the creator, owner, or source of a fictional work associated with another entity.
-
C.
partOfFictionalCommunity
Indicates that one entity belongs to or is a member of a particular fictional community, group, or collective.
-
D.
basedOnInFiction
Indicates that a fictional work, character, or element is derived from, inspired by, or modeled after another real or fictional source.
-
E.
livesInFiction
Indicates that one entity exists or resides within the fictional world or narrative setting created by another entity.
- 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_69d883897eb481909eaaa088ba9918d9 |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e378e5d4448190bfb1b6157bbe5285 |
completed | April 18, 2026, 12:28 p.m. |
| PD | Predicate disambiguation | batch_69e296ad3f148190af09223dc35b155c |
completed | April 17, 2026, 8:23 p.m. |
Created at: April 10, 2026, 5:17 a.m.