Triple
T9709685
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Stewart Stern |
E234990
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Stern |
E397224
|
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: Stern | Statement: [Stewart Stern, familyName, Stern]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Stern Context triple: [Stewart Stern, familyName, Stern]
-
A.
Stern
chosen
Stern is a surname most prominently associated with David Stern, the influential former commissioner of the National Basketball Association (NBA).
-
B.
Stern
Stern is a prominent German weekly news magazine known for its in-depth reporting, photojournalism, and coverage of politics, society, and culture.
-
C.
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.
-
D.
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.
-
E.
Steinman
Steinman is a surname most notably associated with David B. Steinman, an influential American civil engineer and bridge designer.
- 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_69ca84cd8fa0819090a5e243ceb37003 |
completed | March 30, 2026, 2:12 p.m. |
| NER | Named-entity recognition | batch_69cd9da7c6188190b086f7e411378268 |
completed | April 1, 2026, 10:35 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d19f8876748190b0b5efb12031f532 |
completed | April 4, 2026, 11:32 p.m. |
Created at: March 30, 2026, 8:19 p.m.