Triple
T3975665
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kathie Lee Gifford |
E85635
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Gifford |
E88475
|
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: Gifford | Statement: [Kathie Lee Gifford, familyName, Gifford]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Gifford Context triple: [Kathie Lee Gifford, familyName, Gifford]
-
A.
Gifford
chosen
Gifford is a surname most prominently associated with American football player and broadcaster Frank Gifford.
-
B.
Kinnaird
Kinnaird is a historic Scottish estate and locality traditionally associated with the Carnegie family and the title of Lord Carnegie of Kinnaird.
-
C.
Cleghorn
Cleghorn is a residential neighborhood within the city of Fitchburg, Massachusetts.
-
D.
Glencoe
Glencoe is a dramatic Highland valley in western Scotland renowned for its rugged mountain scenery, hiking and climbing opportunities, and its historical significance, including the 1692 Glencoe Massacre.
-
E.
Southworth
Southworth is a surname most notably associated with Lucinda Southworth, an American researcher and the wife of Google co-founder Larry Page.
- 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_69aed93908348190a26c8aaf4fab3e86 |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aef9b6d8008190822fceabe6542b3d |
completed | March 9, 2026, 4:47 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b5401712188190aa6144dc1d5dcab6 |
completed | March 14, 2026, 11:01 a.m. |
Created at: March 9, 2026, 3:33 p.m.