Triple
T8822365
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Huang |
E209935
|
entity |
| Predicate | hasVariant |
P455
|
FINISHED |
| Object | Ong |
E720943
|
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: Ong | Statement: [Huang, hasVariant, Ong]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ong Context triple: [Huang, hasVariant, Ong]
-
A.
Ong
chosen
Ong is a common Chinese surname, particularly among Hokkien and Teochew speakers, often representing the Mandarin surname "Wang."
-
B.
Ongan
Ongan is a small language family comprising the indigenous Andamanese languages spoken primarily in the southern Andaman Islands of India.
-
C.
Aokas
Aokas is a coastal town in northern Algeria known for its Mediterranean beaches, karst caves, and location along the scenic shoreline of Béjaïa Province.
-
D.
Okonedo
Okonedo is the surname of Sophie Okonedo, a British actress known for her acclaimed performances in film, television, and theatre.
-
E.
Oeyo
Oeyo was a prominent noblewoman of Japan’s late Sengoku and early Edo periods, best known as the daughter of Azai Nagamasa and Oichi and the mother of the third Tokugawa shogun, Iemitsu.
- 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_69ca8364e13081909c85fe80f44fe86f |
completed | March 30, 2026, 2:06 p.m. |
| NER | Named-entity recognition | batch_69cc602ed87c8190ab772e5cbb2da68d |
completed | April 1, 2026, midnight |
| NED1 | Entity disambiguation (via context triple) | batch_69cf6fd3b3348190a63bfd29860cc95f |
completed | April 3, 2026, 7:44 a.m. |
Created at: March 30, 2026, 6:46 p.m.