Triple
T16281375
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Oscar Robertson |
E395270
|
entity |
| Predicate | nickname |
P55
|
FINISHED |
| Object | The Big O |
E395270
|
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 Big O | Statement: [Oscar Robertson, nickname, The Big O]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: The Big O Context triple: [Oscar Robertson, nickname, The Big O]
-
A.
The Big O
The Big O is a popular nickname for the city of Omaha, Nebraska, often used to evoke its energetic urban character and regional significance.
-
B.
The Big O
chosen
The Big O is the legendary Hall of Fame NBA guard Oscar Robertson, renowned for his all-around play and pioneering triple-double performances.
-
C.
The Big O
The Big O is Montreal’s distinctive, oval-shaped Olympic Stadium, best known for its massive concrete structure and once-ambitious inclined tower.
-
D.
The Outside Man
The Outside Man is a 1972 French-Italian-American crime thriller film directed by Jacques Deray and starring Jean-Louis Trintignant and Ann-Margret.
-
E.
The Prowler
The Prowler is a 1951 film noir thriller in which Van Heflin plays a corrupt police officer drawn into a deadly scheme involving lust, greed, and murder.
- 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_69d87f22c7248190a54c949738441e2e |
completed | April 10, 2026, 4:40 a.m. |
| NER | Named-entity recognition | batch_69e24910c6b881909ae5cc0908dd8eb2 |
completed | April 17, 2026, 2:52 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0017c6b72081908a21e5099f463b62 |
completed | May 10, 2026, 5:29 a.m. |
Created at: April 10, 2026, 5:05 a.m.