Triple
T10812414
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Goodbye, Mr. Chips |
E255135
|
entity |
| Predicate | editor |
P1954
|
FINISHED |
| Object | Charles Frend |
E153926
|
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: Charles Frend | Statement: [Goodbye, Mr. Chips, editor, Charles Frend]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Charles Frend Context triple: [Goodbye, Mr. Chips, editor, Charles Frend]
-
A.
Charles Frend
chosen
Charles Frend was a British film director and editor best known for his work at Ealing Studios on films such as "Scott of the Antarctic" and "The Cruel Sea."
-
B.
James Shearman
James Shearman is a British conductor and orchestrator known for his extensive work on major film scores, including numerous Hollywood blockbusters.
-
C.
Cy Endfield
Cy Endfield was an American-born British film director, screenwriter, and magician best known for directing the war epic "Zulu" and for his collaborations with actor-producer Stanley Baker.
-
D.
Nicholas Lea
Nicholas Lea is a Canadian actor best known for his recurring role as Alex Krycek on the television series "The X-Files."
-
E.
Charles Lang
Charles Lang was an acclaimed American cinematographer known for his work on numerous classic Hollywood films across several decades.
- 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_69d6aa61c15c8190a1839550c56e75e1 |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d733eadda48190b2b1183ee60102cb |
completed | April 9, 2026, 5:06 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69de853692f08190914cbeaf1a558730 |
completed | April 14, 2026, 6:19 p.m. |
Created at: April 8, 2026, 9:18 p.m.