Triple
T8147261
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Klyde Warren |
E190244
|
entity |
| Predicate | hasGivenName |
P17
|
FINISHED |
| Object | Klyde |
E190244
|
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: Klyde | Statement: [Klyde Warren, hasGivenName, Klyde]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Klyde Context triple: [Klyde Warren, hasGivenName, Klyde]
-
A.
Bardeen
Bardeen is a surname most notably associated with John Bardeen, the American physicist who won the Nobel Prize in Physics twice for his work on the transistor and superconductivity.
-
B.
Sandage
Sandage is a surname most notably associated with Allan R. Sandage, a prominent American astronomer known for his work on the expansion rate and age of the universe.
-
C.
Klyde Warren
chosen
Klyde Warren is the namesake of Dallas’s Klyde Warren Park, a prominent urban green space built over a freeway in the city’s downtown area.
-
D.
Cassin Young
Cassin Young was a United States Navy officer and Medal of Honor recipient renowned for his heroism during the attack on Pearl Harbor in World War II.
-
E.
Kerbel
Kerbel is a surname most notably associated with Lev Kerbel, a prominent Soviet sculptor known for his large-scale public monuments.
- 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_69ca82be7ba8819087de0147e9292c83 |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cb447d6b1881908ff3fa25af6b4e80 |
completed | March 31, 2026, 3:50 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cc94b667d88190a0b47c7e0e07f338 |
completed | April 1, 2026, 3:44 a.m. |
Created at: March 30, 2026, 5:36 p.m.