Triple
T16819824
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Semaver |
E408855
|
entity |
| Predicate | hasTitleInOriginalLanguage |
P13516
|
FINISHED |
| Object | Semaver |
E408855
|
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: Semaver | Statement: [Semaver, hasTitleInOriginalLanguage, Semaver]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Semaver Context triple: [Semaver, hasTitleInOriginalLanguage, Semaver]
-
A.
Semaver
chosen
Semaver is a celebrated short story collection by Turkish writer Sait Faik Abasıyanık, known for its lyrical depictions of everyday Istanbul life and marginalized characters.
-
B.
Messervy
Messervy is a surname most notably associated with British Indian Army officer Sir Frank Messervy, who served as the first Commander-in-Chief of the Pakistan Army.
-
C.
Seiberling
Seiberling is a surname most notably associated with American industrialist Frank Seiberling, co-founder of the Goodyear Tire & Rubber Company.
-
D.
Schwabe
Schwabe is the family name of British character actor Cecil Parker, known for his distinguished supporting roles in mid-20th-century cinema.
-
E.
Schroda
Schroda is a town in western Poland, historically part of the Prussian Province of Posen, known today as Środa Wielkopolska.
- 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_69d88394566c8190b3dcbdc72935f7fa |
completed | April 10, 2026, 4:59 a.m. |
| NER | Named-entity recognition | batch_69e3b2e56b9c8190a35ad9c463954fbf |
completed | April 18, 2026, 4:35 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00b29a3854819099eed580eea5d84d |
completed | May 10, 2026, 4:30 p.m. |
Created at: April 10, 2026, 5:23 a.m.