Triple
T2601588
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pa Joad |
E58354
|
entity |
| Predicate | portrayedInFilmBy |
P9616
|
FINISHED |
| Object | Russell Simpson |
E294140
|
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: Russell Simpson | Statement: [Pa Joad, portrayedInFilmBy, Russell Simpson]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Russell Simpson Context triple: [Pa Joad, portrayedInFilmBy, Russell Simpson]
-
A.
Russell Simpson
chosen
Russell Simpson was an American character actor best known for his frequent roles in Westerns and classic Hollywood films, including several collaborations with director John Ford.
-
B.
Russell Smith
Russell Smith is a film producer best known for his work on the acclaimed coming-of-age drama "Young Adult."
-
C.
Russell Boyd
Russell Boyd is an acclaimed Australian cinematographer best known for his work on films such as "Master and Commander: The Far Side of the World," for which he won an Academy Award.
-
D.
Andrew Whitham
Andrew Whitham is a distinguished geoscientist recognized for his significant contributions to the field, as evidenced by his receipt of the William Smith Medal.
-
E.
Ken Ralston
Ken Ralston is an acclaimed visual effects supervisor known for his groundbreaking work on major films such as the Star Wars and Back to the Future series.
- 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_69ab4ac14040819098b13f4a27d5c8ff |
completed | March 6, 2026, 9:44 p.m. |
| NER | Named-entity recognition | batch_69abd4587014819089f78e93adf2144c |
completed | March 7, 2026, 7:31 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b12df6ad908190b0b484b6fd82ffb5 |
completed | March 11, 2026, 8:55 a.m. |
Created at: March 6, 2026, 9:49 p.m.