Triple
T10982003
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Joel Oliansky |
E259529
|
entity |
| Predicate | workedOn |
P3
|
FINISHED |
| Object | The Competition |
E897168
|
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: The Competition | Statement: [Joel Oliansky, workedOn, The Competition]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: The Competition Context triple: [Joel Oliansky, workedOn, The Competition]
-
A.
The Competition
chosen
The Competition is a 1980 drama film about rival classical pianists, noted for its intense musical performances and character-driven story.
-
B.
The Kompetition
The Kompetition is a music track produced by the artist Glitter.
-
C.
The Contest
"The Contest" is a famous and critically acclaimed Seinfeld episode centered on a humorous bet among the main characters about who can abstain from self-gratification the longest.
-
D.
The Rivalry
The Rivalry is the historic college football series between Lafayette College and Lehigh University, recognized as one of the oldest and most frequently played rivalries in American football.
-
E.
The Race
The Race is a narrow, fast-moving tidal strait at the eastern end of Long Island Sound, known for its strong currents and challenging navigation conditions.
- 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_69d6aa895f4c8190887a15460ef622f4 |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d772eb518c8190a885a417815f2ff6 |
completed | April 9, 2026, 9:35 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e344c77d6c8190a9b5e2cc967fb031 |
completed | April 18, 2026, 8:45 a.m. |
Created at: April 8, 2026, 9:24 p.m.