Triple
T9819839
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Oh Jun-ho |
E238500
|
entity |
| Predicate | ledDevelopmentOf |
P6947
|
FINISHED |
| Object | HUBO |
E790508
|
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: HUBO | Statement: [Oh Jun-ho, ledDevelopmentOf, HUBO]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: HUBO Context triple: [Oh Jun-ho, ledDevelopmentOf, HUBO]
-
A.
HUBO humanoid robot series
chosen
The HUBO humanoid robot series is a line of advanced bipedal robots from South Korea known for their human-like mobility, participation in robotics competitions, and contributions to humanoid robotics research.
-
B.
Atlas humanoid robot
The Atlas humanoid robot is a highly advanced, bipedal research platform developed by Boston Dynamics for exploring agile, human-like mobility and manipulation in complex environments.
-
C.
Ameca
Ameca is a city in the Mexican state of Jalisco known as an agricultural and commercial center in the Ameca Valley region.
-
D.
Nadia humanoid robot
Nadia is a state-of-the-art humanoid robot platform designed for advanced research in robotics, locomotion, and human-robot interaction.
-
E.
ASIMO humanoid robot
ASIMO is a pioneering humanoid robot developed by Honda, designed to walk, run, and interact with humans as a research platform for advanced robotics and mobility technologies.
- 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_69ca84dfde1481909f47c286d715f892 |
completed | March 30, 2026, 2:12 p.m. |
| NER | Named-entity recognition | batch_69cdb313134081908eb0ba3a22b22e2b |
completed | April 2, 2026, 12:06 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d1e41725948190a40ddcf9552e9bf1 |
completed | April 5, 2026, 4:24 a.m. |
Created at: March 30, 2026, 8:31 p.m.