Triple
T21633146
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Frederick G. Smith |
E533884
|
entity |
| Predicate | relative |
P37
|
FINISHED |
| Object | David Smith |
—
|
NE NERFINISHED |
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: David Smith | Statement: [Frederick G. Smith, relative, David Smith]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: David Smith Context triple: [Frederick G. Smith, relative, David Smith]
-
A.
David Smith
David Smith was an influential American sculptor best known for his large-scale abstract steel works that helped redefine modern sculpture in the 20th century.
-
B.
David Smith
David Smith is a television executive producer known for his work on the culinary and cultural docuseries "Taste the Nation with Padma Lakshmi."
-
C.
David Smith
David Smith is a Scottish football executive best known for serving as chairman of Ayr United F.C.
-
D.
David Smith
David Smith is a fictional character from the television legal drama series "Fairly Legal."
-
E.
Ray W. Bliss
Ray W. Bliss was a prominent American physician and U.S. Army medical officer whose service and leadership in military medicine led to a major Army health center being named in his honor.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide. chosen
Provenance (2 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_69e0c465ae7481908577b7209fdb2a77 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69ef52185dbc819096ad2fc5b7d953f8 |
completed | April 27, 2026, 12:10 p.m. |
Created at: April 16, 2026, 6:35 p.m.