Triple
T31902502
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tony's Town Square Restaurant |
E814461
|
entity |
| Predicate | inFictionalContext |
P124594
|
FINISHED |
| Object | Tony's Restaurant from Lady and the Tramp |
—
|
NE NERFINISHED |
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: Tony's Restaurant from Lady and the Tramp | Statement: [Tony's Town Square Restaurant, inFictionalContext, Tony's Restaurant from Lady and the Tramp]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: inFictionalContext Context triple: [Tony's Town Square Restaurant, inFictionalContext, Tony's Restaurant from Lady and the Tramp]
-
A.
worksInFictionalContext
Indicates that an entity performs work or fulfills a role within a fictional or imagined setting rather than in real-world circumstances.
-
B.
fictionalContent
Indicates that one entity is content whose subject matter, events, or characters are imaginary or invented rather than factual.
-
C.
fictionalFocus
Indicates that the primary emphasis or attention within a context is placed on fictional content, elements, or aspects.
-
D.
fictionalMedium
Indicates that a work of fiction is presented or conveyed through a particular medium or format (such as a book, film, game, or comic).
-
E.
showWithinFiction
chosen
Indicates that one entity is depicted, referenced, or occurs as part of the fictional world or narrative context of 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_69f348f04d7881909537fc9e7cbc670e |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_69f6b1afafc0819082b8e1cb21125171 |
completed | May 3, 2026, 2:23 a.m. |
| PD | Predicate disambiguation | batch_69f6aca59d4881908d14ed47962703bd |
completed | May 3, 2026, 2:02 a.m. |
Created at: May 1, 2026, midnight