Triple
T805168
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | OpenAI Gym |
E17413
|
entity |
| Predicate | hasSuccessor |
P78
|
FINISHED |
| Object | Gymnasium |
E95192
|
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: Gymnasium | Statement: [OpenAI Gym, hasSuccessor, Gymnasium]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Gymnasium Context triple: [OpenAI Gym, hasSuccessor, Gymnasium]
-
A.
Gymnasium
chosen
Gymnasium is a modern open-source toolkit for developing and comparing reinforcement learning algorithms, serving as a successor and refinement to OpenAI Gym.
-
B.
Luitpold Gymnasium
Luitpold Gymnasium was a secondary school in Munich, Germany, known for being one of the early educational institutions attended by Albert Einstein.
-
C.
Blume High School
Blume High School is an educational institution best known as the high school attended by astronaut and first Moon-walker Neil A. Armstrong.
-
D.
Montini
Montini is the Italian family name of Giovanni Battista Montini, who became Pope Paul VI, head of the Catholic Church from 1963 to 1978.
-
E.
Gould Academy
Gould Academy is a private college-preparatory boarding and day school in Bethel, Maine, known for its rigorous academics and strong outdoor and ski programs.
- 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_69a4937ae8a08190b5084a03d532b30e |
completed | March 1, 2026, 7:28 p.m. |
| NER | Named-entity recognition | batch_69a4aabff3d88190bec4299fa0d87df0 |
completed | March 1, 2026, 9:08 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a76d83cf448190a2205cd777386833 |
completed | March 3, 2026, 11:23 p.m. |
Created at: March 1, 2026, 7:38 p.m.