Triple
T15034773
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Cool Wall |
E378450
|
entity |
| Predicate | hasCategory |
P87
|
FINISHED |
| Object | Sub-Zero |
E732860
|
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: Sub-Zero | Statement: [The Cool Wall, hasCategory, Sub-Zero]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sub-Zero Context triple: [The Cool Wall, hasCategory, Sub-Zero]
-
A.
Sub-Zero
chosen
Sub-Zero is a popular Mortal Kombat fighter known for his ice-based powers, ninja appearance, and long-running rivalry with Scorpion.
-
B.
Ryu
Ryu is the iconic martial artist and primary protagonist of Capcom’s Street Fighter series, known for his disciplined fighting style and signature Hadouken attack.
-
C.
Iori
The Iori is a river in the South Caucasus that flows through eastern Georgia and parts of Azerbaijan before joining the Kura River.
-
D.
Blanka
Blanka is a given name used in various Slavic and Central European countries, equivalent to the name Blanca or Bianca.
-
E.
Kanaya Hanzo
Kanaya Hanzo was a Japanese general who rose to the top of the Imperial Japanese Army’s leadership during the early 20th century.
- 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_69d85cd46b2c819090d054c27787f677 |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69ded82b29948190acda49cbec3f927a |
completed | April 15, 2026, 12:13 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fe9dddd0208190b2dac7a078de2931 |
completed | May 9, 2026, 2:37 a.m. |
Created at: April 10, 2026, 2:59 a.m.