Triple
T15908056
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ron Underwood |
E385772
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Underwood |
E486642
|
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: Underwood | Statement: [Ron Underwood, familyName, Underwood]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Underwood Context triple: [Ron Underwood, familyName, Underwood]
-
A.
Underwood
chosen
Underwood is a surname most prominently associated with the fictional political power couple Frank and Claire Underwood from the television series "House of Cards."
-
B.
Underwood
Underwood is a residential suburb located within Logan City in Queensland, Australia, known for its multicultural community and convenient access to Brisbane.
-
C.
New Underwood
New Underwood is a small rural town in western South Dakota known for its agricultural community and proximity to Rapid City.
-
D.
Blackmer
Blackmer is a surname most notably associated with American actor Sidney Blackmer, known for his work on stage and in film during the mid-20th century.
-
E.
Underwood Division
Underwood Division is a liberal arts-focused academic unit within Underwood International College at Yonsei University, offering interdisciplinary undergraduate programs taught primarily in English.
- 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_69d86da686e4819097cbf3b1fc2d881d |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e1565c11bc819091b1fd85901a832d |
completed | April 16, 2026, 9:36 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ffb055307081908a13c98a0e16780c |
completed | May 9, 2026, 10:08 p.m. |
Created at: April 10, 2026, 4:52 a.m.