Triple
T12326032
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kyle Seager |
E293831
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Kyle |
E839646
|
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: Kyle | Statement: [Kyle Seager, givenName, Kyle]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kyle Context triple: [Kyle Seager, givenName, Kyle]
-
A.
Kyle
Kyle is a musical artist known for being a featured performer on the song "Surf."
-
B.
Kyle
Kyle is a town in South Ayrshire, Scotland, historically associated with the former district of Carrick.
-
C.
Kyle
Kyle is a central protagonist in the role-playing game "Lunar: The Silver Star," known as a skilled swordsman and loyal companion on the hero's journey.
-
D.
Kyle
Kyle is a rapidly growing suburban city in Central Texas located between Austin and San Antonio.
-
E.
Kyle
chosen
Kyle is a given name commonly used in English-speaking countries for people of any gender, though traditionally more often for males.
- 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_69d6ab6ae0dc8190b1522a9c1c55c114 |
completed | April 8, 2026, 7:24 p.m. |
| NER | Named-entity recognition | batch_69d93f4e7e588190b37e2413bc649198 |
completed | April 10, 2026, 6:19 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f61e8d27288190bdf32acd600141db |
completed | May 2, 2026, 3:55 p.m. |
Created at: April 8, 2026, 9:53 p.m.