Triple
T11774220
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Paulie |
E279975
|
entity |
| Predicate | director |
P255
|
FINISHED |
| Object | John Roberts |
E580823
|
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: John Roberts | Statement: [Paulie, director, John Roberts]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: John Roberts Context triple: [Paulie, director, John Roberts]
-
A.
John Roberts
John Roberts was an American entrepreneur and heir who became best known as one of the principal financial backers and co-producers of the iconic 1969 Woodstock music festival.
-
B.
John Roberts
chosen
John Roberts is an American actor and comedian best known for voicing Linda Belcher on the animated television series "Bob's Burgers."
-
C.
John G. Roberts Jr.
John G. Roberts Jr. is an American jurist who serves as the 17th Chief Justice of the U.S. Supreme Court, known for his influential role in shaping contemporary constitutional law.
-
D.
John W. Roberts
John W. Roberts was a high-ranking United States Air Force officer who served in a prominent leadership role within the Air Training Command.
-
E.
Jack Scalia
Jack Scalia is an American actor known for his roles in television series and films, particularly in the 1980s and 1990s.
- 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_69d6ab01d2688190ad8ed6bda487eaa5 |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d8a55f415081908eec78cb2c956598 |
completed | April 10, 2026, 7:23 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f0909969e481908d836f912b5af5bf |
completed | April 28, 2026, 10:48 a.m. |
Created at: April 8, 2026, 9:41 p.m.