Triple
T4193838
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Caroline Schelling |
E89096
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Schelling |
E89096
|
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: Schelling | Statement: [Caroline Schelling, familyName, Schelling]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Schelling Context triple: [Caroline Schelling, familyName, Schelling]
-
A.
Schelling
chosen
Schelling is a prominent German surname most famously associated with the idealist philosopher Friedrich Wilhelm Joseph Schelling.
-
B.
Thomas Schelling
Thomas Schelling was an American economist and game theorist renowned for his work on conflict, cooperation, and nuclear strategy, for which he received the Nobel Prize in Economics.
-
C.
Keyserling
Keyserling is a surname most notably associated with Leon H. Keyserling, an influential American economist and former chairman of the U.S. Council of Economic Advisers.
-
D.
Erving
Erving is the surname of Julius Erving, the Hall of Fame American basketball player widely known as "Dr. J."
-
E.
Schwartz
Schwartz is a common German-origin surname borne by numerous notable individuals across fields such as music, mathematics, and literature.
- 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_69aed9569a4481908b6c1fcec2a11e21 |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69af0342c6048190835631649a14d304 |
completed | March 9, 2026, 5:28 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b5961f0de081908e2b6bee1725b97e |
completed | March 14, 2026, 5:08 p.m. |
Created at: March 9, 2026, 3:46 p.m.