Triple
T14704467
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Émile Smith |
E345389
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Émile Smith |
E345389
|
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: Émile Smith | Statement: [Émile Smith, name, Émile Smith]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Émile Smith Context triple: [Émile Smith, name, Émile Smith]
-
A.
Émile Smith
chosen
Émile Smith is a person notable for bearing the given name Émile.
-
B.
Wilfred Johnson
Wilfred Johnson was the paternal grandfather of former UK Prime Minister Boris Johnson and a British politician of Turkish descent who served as a Conservative Party councillor.
-
C.
Henry Boucher
Henry Boucher was a French political figure known for co-founding the center-right Democratic Republican Alliance during the Third Republic.
-
D.
Eugene Worley
Eugene Worley was an American jurist who served as a prominent judge on the United States Court of Customs and Patent Appeals.
-
E.
A. J. Duhe
A. J. Duhe is a former American football linebacker and defensive end best known for his standout career with the Miami Dolphins in the late 1970s and early 1980s.
- 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_69d822e4a8c08190a155df736bb7bc13 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69deb6071e5c8190bb5509c859135c2d |
completed | April 14, 2026, 9:47 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fdf087ce8c819081a7186df67bcf1f |
completed | May 8, 2026, 2:17 p.m. |
Created at: April 10, 2026, 1:28 a.m.