Triple
T36926656
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Murray Franklin Show |
E913360
|
entity |
| Predicate | countryOfFictionalBroadcast |
P186947
|
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: [Murray Franklin Show, countryOfFictionalBroadcast, United States]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: countryOfFictionalBroadcast Context triple: [Murray Franklin Show, countryOfFictionalBroadcast, United States]
-
A.
countryOfFictionalContext
Indicates that a work of fiction is primarily set in, or contextually associated with, a particular country.
-
B.
countryOfOriginFictional
Indicates that a fictional work, character, or element originates from or is associated with a particular country within its narrative or setting.
-
C.
countryOfFictionalRepresentation
chosen
Indicates that one entity is the country in which another entity (such as a work or character) is fictionally set or represented.
-
D.
nationalityOfFictionalSetting
Indicates that a fictional setting is associated with, or belongs to, a particular nationality or country.
-
E.
countryOfFictionalOrganization
Indicates the real-world country in which a fictional organization is based, operates, or is associated.
- 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_69f76e896c988190880c130e01303dd4 |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_6a03352bb9688190b965d188769fcacd |
completed | May 12, 2026, 2:11 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a3e2c1724548190b753a32ba67e22b5 |
completed | June 26, 2026, 7:36 a.m. |
| PD | Predicate disambiguation | batch_6a033329ae5c81909532843fe716ec77 |
completed | May 12, 2026, 2:03 p.m. |
Created at: May 3, 2026, 4:13 p.m.