Triple
T13258156
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | David Rees Snell |
E315716
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Snell |
E259129
|
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: Snell | Statement: [David Rees Snell, familyName, Snell]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Snell Context triple: [David Rees Snell, familyName, Snell]
-
A.
Snell
chosen
Snell is a surname of English and German origin borne by various notable individuals in politics, science, and other fields.
-
B.
Luce
Luce is a surname most notably associated with Henry Luce, the influential American magazine magnate and co-founder of Time Inc.
-
C.
Luce
Luce is the abbreviated name of Italy’s historic Istituto Nazionale Luce, a state film and newsreel institute known for producing and distributing documentary and propaganda films.
-
D.
Schlick
Schlick is a German surname most notably associated with Moritz Schlick, a leading philosopher and founder of the Vienna Circle.
-
E.
Glister
Glister is an oral care brand from Amway known for its toothpaste and related dental hygiene products.
- 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_69d806b1d9ac8190852c5571d5bd5f0f |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d98f7614fc8190a1cac076d706e9aa |
completed | April 11, 2026, 12:01 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f70a444b4c8190a5dd95460ac96cc7 |
completed | May 3, 2026, 8:41 a.m. |
Created at: April 9, 2026, 9:25 p.m.