Triple
T35201247
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | House of Evangelista |
E1016407
|
entity |
| Predicate | countryOfOriginFiction |
P82660
|
FINISHED |
| Object | United States |
E14
|
NE 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: United States | Statement: [House of Evangelista, countryOfOriginFiction, United States]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: countryOfOriginFiction Context triple: [House of Evangelista, countryOfOriginFiction, United States]
-
A.
countryOfOriginFictional
chosen
Indicates that a fictional work, character, or element originates from or is associated with a particular country within its narrative or setting.
-
B.
placeOfOriginInFiction
Indicates that a fictional character, object, or entity originates from or is first introduced in a specified fictional location or setting.
-
C.
literaryOriginCountry
Indicates the country from which a literary work or literary tradition originally comes.
-
D.
countryOfFictionalContext
Indicates that a work of fiction is primarily set in, or contextually associated with, a particular country.
-
E.
fictionalOrigin
Indicates that one entity originates from, or was first introduced within, a fictional work, universe, or narrative created by another entity.
- F. None of above.
Provenance (4 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_69f76dde814c8190a71f60d514a424a4 |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_6a01b3af7b908190b4675c85d32d106c |
completed | May 11, 2026, 10:47 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a3823ae4e54819083152f8611939e80 |
completed | June 21, 2026, 5:47 p.m. |
| PD | Predicate disambiguation | batch_6a01b35813c081908e484b2b9ca5dd05 |
completed | May 11, 2026, 10:45 a.m. |
Created at: May 3, 2026, 4:02 p.m.