Triple
T7558282
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Harry |
E178727
|
entity |
| Predicate | hasVariantSpelling |
P457
|
FINISHED |
| Object | Hari |
E106406
|
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: Hari | Statement: [Harry, hasVariantSpelling, Hari]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hari Context triple: [Harry, hasVariantSpelling, Hari]
-
A.
Hari
chosen
Hari is a revered name of the Hindu god Vishnu, emphasizing his role as the preserver who removes suffering and ignorance.
-
B.
Naha Haarii
Naha Haarii is a traditional dragon boat festival held annually in Naha, Okinawa, featuring competitive boat races and cultural celebrations to pray for good harvests and maritime safety.
-
C.
Hoori
Hoori is a deity in Japanese mythology, known as a divine hunter and ancestor of Japan’s imperial line.
-
D.
Haruna
Haruna was a Japanese Kongō-class fast battleship that served in the Imperial Japanese Navy during both World Wars and saw extensive action in the Pacific Theater.
-
E.
Haya
Haya is a feminine given name of Arabic origin, commonly used in the Middle East and among Arabic-speaking communities.
- 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_69c69f2da22c8190a50942ac20af70e8 |
completed | March 27, 2026, 3:15 p.m. |
| NER | Named-entity recognition | batch_69c6f8db3d508190850ed41854d69838 |
completed | March 27, 2026, 9:38 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c856c833288190842c41e9010d56de |
completed | March 28, 2026, 10:31 p.m. |
Created at: March 27, 2026, 3:50 p.m.