Triple
T6249824
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | John Toll |
E140017
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | John Toll |
E140017
|
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 Toll | Statement: [John Toll, name, John Toll]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: John Toll Context triple: [John Toll, name, John Toll]
-
A.
John Toll
chosen
John Toll is an acclaimed American cinematographer known for his visually striking work on numerous major films, including "The Adjustment Bureau."
-
B.
Joe Johnston
Joe Johnston is an American film director and visual effects artist best known for directing movies such as "Honey, I Shrunk the Kids," "Jumanji," and "Captain America: The First Avenger."
-
C.
Roger Christian
Roger Christian was an American ice hockey player from Warroad, Minnesota, best known for winning a gold medal with the U.S. national team at the 1960 Winter Olympics.
-
D.
Eric Roth
Eric Roth is an acclaimed American screenwriter best known for writing the Oscar-winning screenplay for "Forrest Gump" and contributing to numerous other major films.
-
E.
George P. Cosmatos
George P. Cosmatos was a Greek-Italian film director known for helming action and genre films such as "Cobra," "Rambo: First Blood Part II," and "Tombstone."
- 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_69c008b4858c819095b0199114a9a87b |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c0633c5f2081909b0246e061f8a7d9 |
completed | March 22, 2026, 9:46 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c2441d4ad88190895237d834f5d9b8 |
completed | March 24, 2026, 7:58 a.m. |
Created at: March 22, 2026, 4:24 p.m.