Triple
T20931150
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Turanians |
E515472
|
entity |
| Predicate | enemyOfHero |
P108097
|
FINISHED |
| Object | Kay Kavus |
—
|
NE NERFINISHED |
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: Kay Kavus | Statement: [Turanians, enemyOfHero, Kay Kavus]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kay Kavus Context triple: [Turanians, enemyOfHero, Kay Kavus]
-
A.
Kay Kavus
chosen
Kay Kavus is a legendary king of Iran in Ferdowsi’s epic Shahnameh, known for his hubris, ill-fated ambitions, and reliance on heroes like Rostam to rescue him from his own reckless schemes.
-
B.
Tavo Kaynin
Tavo Kaynin is a character from Terry Brooks's Shannara universe who appears in the novel "The Black Elfstone."
-
C.
Nick Bakay
Nick Bakay is an American actor, writer, and comedian best known as the voice of the sarcastic cat Salem Saberhagen on the television series "Sabrina the Teenage Witch."
-
D.
Jeff Kaake
Jeff Kaake is an American actor best known for his leading role as Captain John Boon in the science fiction television series "Space Rangers."
-
E.
Mark Korven
Mark Korven is a Canadian film and television composer best known for his unsettling, atmospheric scores for horror projects such as The Witch and The Lighthouse.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e0b4fb431c8190b9d40e6a72f0cc87 |
completed | April 16, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69e6f6557e4881909ce932c3f538304a |
completed | April 21, 2026, 4 a.m. |
Created at: April 16, 2026, 12:49 p.m.