Triple
T12932973
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gordium archaeological site |
E309427
|
entity |
| Predicate | excavatedBy |
P7650
|
FINISHED |
| Object | Rodney S. Young |
E1083392
|
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: Rodney S. Young | Statement: [Gordium archaeological site, excavatedBy, Rodney S. Young]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Rodney S. Young Context triple: [Gordium archaeological site, excavatedBy, Rodney S. Young]
-
A.
Rodney S. Young
chosen
Rodney S. Young was an American archaeologist best known for his pioneering excavations at the ancient Phrygian capital of Gordion in modern-day Turkey.
-
B.
Rodney D. Smith
Rodney D. Smith is an academic leader who has served as president of the University of The Bahamas.
-
C.
Rodney A. Grant
Rodney A. Grant is a Native American actor best known for his role as the Sioux warrior Wind In His Hair in the film "Dances with Wolves."
-
D.
Ronald L. Vaughn
Ronald L. Vaughn is an American academic administrator best known for leading the University of Tampa through significant growth and development as its long-serving president.
-
E.
Ronald E. Yates
Ronald E. Yates is an American author and former journalist known for his work as a foreign correspondent and as a professor and dean at the University of Illinois’ College of Media.
- 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_69d7bdfa933c8190b5a27aa4a08a19b7 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d97dc6517481908637781da240b51f |
completed | April 10, 2026, 10:46 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fdfb6b97888190923ce7a6e59ff752 |
completed | May 8, 2026, 3:04 p.m. |
Created at: April 9, 2026, 5:42 p.m.