Triple
T8654764
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Franchot Tone |
E205386
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Stanislaus |
E414832
|
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: Stanislaus | Statement: [Franchot Tone, givenName, Stanislaus]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Stanislaus Context triple: [Franchot Tone, givenName, Stanislaus]
-
A.
Stanislaus
chosen
Stanislaus is a Latinized form of the Slavic given name Stanisław, historically borne by several notable saints and figures in Central and Eastern Europe.
-
B.
St. Anthony
St. Anthony is a small suburban city in Minnesota that forms part of the Minneapolis–Saint Paul metropolitan area.
-
C.
San Gregorio
San Gregorio is a neighborhood within the municipality of Telde on the island of Gran Canaria in Spain’s Canary Islands.
-
D.
San Gregorio
San Gregorio is a sparsely populated Chilean commune in the Magallanes Region, known for its Patagonian steppe landscapes and historic estancias (ranches).
-
E.
Eanes
Eanes is a Portuguese surname most prominently associated with António Ramalho Eanes, the former President of Portugal.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69ca8350897c819086cde7596fbe5fe7 |
completed | March 30, 2026, 2:06 p.m. |
| NER | Named-entity recognition | batch_69cc48432568819093b9a867b4f62b78 |
completed | March 31, 2026, 10:18 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ceccdaad2881908f131ee9da2841d1 |
completed | April 2, 2026, 8:08 p.m. |
Created at: March 30, 2026, 6:29 p.m.