Triple
T12671575
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ricky Skaggs |
E302696
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Skaggs |
E859778
|
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: Skaggs | Statement: [Ricky Skaggs, familyName, Skaggs]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Skaggs Context triple: [Ricky Skaggs, familyName, Skaggs]
-
A.
Skaggs
chosen
Skaggs is a surname most notably associated with American public figures such as former U.S. Congressman David Skaggs.
-
B.
Drysdale
Drysdale is a surname most famously associated with Don Drysdale, a Hall of Fame Major League Baseball pitcher for the Los Angeles Dodgers.
-
C.
Scoggins
Scoggins is a minor supporting character in the 1999 science fiction horror film "Deep Blue Sea," which centers on genetically enhanced sharks in an underwater research facility.
-
D.
Scaggs
Scaggs is the surname of American singer, songwriter, and guitarist Boz Scaggs, known for his blend of rock, blues, and soul music.
-
E.
Shearer West
Shearer West is a British art historian and academic leader who serves as Vice-Chancellor of the University of Nottingham.
- 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_69d7bdee64a08190801c6d470aefd723 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d961ae493481908f82e0d05dce20bd |
completed | April 10, 2026, 8:46 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6689019988190ae3a3a52be45c83a |
completed | May 2, 2026, 9:11 p.m. |
Created at: April 9, 2026, 5:20 p.m.