Triple
T15908100
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Daniel Stern |
E385774
|
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: [Daniel Stern, familyName, Stern]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Stern Context triple: [Daniel Stern, familyName, Stern]
-
A.
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.
-
B.
Stern
chosen
Stern is a surname most prominently associated with David Stern, the influential former commissioner of the National Basketball Association (NBA).
-
C.
Stern
Stern is a prominent German weekly news magazine known for its in-depth reporting, photojournalism, and coverage of politics, society, and culture.
-
D.
Sterne
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.
-
E.
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.
- 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_69d86da686e4819097cbf3b1fc2d881d |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e1565c11bc819091b1fd85901a832d |
completed | April 16, 2026, 9:36 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ffb055307081908a13c98a0e16780c |
completed | May 9, 2026, 10:08 p.m. |
Created at: April 10, 2026, 4:52 a.m.