Triple
T15829163
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Uruz Bey’in Esir Olduğu Boy |
E383822
|
entity |
| Predicate | featuresCharacter |
P626
|
FINISHED |
| Object | Uruz Bey |
E1178983
|
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: Uruz Bey | Statement: [Uruz Bey’in Esir Olduğu Boy, featuresCharacter, Uruz Bey]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Uruz Bey Context triple: [Uruz Bey’in Esir Olduğu Boy, featuresCharacter, Uruz Bey]
-
A.
Uruz Bey
chosen
Uruz Bey is a legendary figure from Turkic epic tradition, often depicted as a brave warrior and central hero in tales of captivity and rescue.
-
B.
Zuras
Zuras is a powerful Eternal in Marvel Comics, often depicted as the wise and authoritative leader of the Eternals and father of Thena.
-
C.
Torgos
Torgos is a genus of large Old World vultures best known for including the lappet-faced vulture.
-
D.
Abderus
Abderus is a minor figure in Greek mythology known as a companion of Heracles who was killed by the mares of Diomedes.
-
E.
Peurion
Peurion is a white grape variety historically cultivated in parts of Europe, known as a descendant of the ancient Heunisch Weiss lineage.
- 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_69d86da34c888190976e06c4019d415a |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e11e62aba8819090978801f4df73fe |
completed | April 16, 2026, 5:37 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ffa135be84819084f7c20c2bc01b47 |
completed | May 9, 2026, 9:03 p.m. |
Created at: April 10, 2026, 4:49 a.m.