Triple
T13677049
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Laurence Sterne |
E327904
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Sterne |
E947399
|
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: Sterne | Statement: [Laurence Sterne, familyName, Sterne]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sterne Context triple: [Laurence Sterne, familyName, Sterne]
-
A.
Sterne
Sterne is a photographic series by German artist Thomas Ruff that features large-scale, high-contrast images of star fields derived from astronomical observatory negatives.
-
B.
Sterne
chosen
Sterne is a surname most notably associated with Hedda Sterne, a Romanian-American artist linked to the New York School and known for her diverse, modernist works.
-
C.
Sterns
Sterns is the maiden surname of Colleen Sterns Reagan, used before her marriage.
-
D.
Stern
Stern is a prominent German weekly news magazine known for its in-depth reporting, photojournalism, and coverage of politics, society, and culture.
-
E.
Stern
Stern is a darkly comic novel by Bruce Jay Friedman that follows the anxieties and misadventures of a neurotic Jewish man grappling with suburban life and identity.
- 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_69d8076f1fa8819094664a59b55010df |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dbc65d8dc081909664e69bb38610ba |
completed | April 12, 2026, 4:20 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f794405a38819085f38170c56564f2 |
completed | May 3, 2026, 6:30 p.m. |
Created at: April 9, 2026, 9:53 p.m.