Triple
T1201386
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Test Pilot (1938 film) |
E25788
|
entity |
| Predicate | mainCharacter |
P1183
|
FINISHED |
| Object |
Jim Lane
Jim Lane is the fictional protagonist of the 1938 aviation drama film "Test Pilot," portrayed as a daring and charismatic test pilot.
|
E139679
|
NE FINISHED |
How this triple was built (4 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: Jim Lane | Statement: [Test Pilot (1938 film), mainCharacter, Jim Lane]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jim Lane Context triple: [Test Pilot (1938 film), mainCharacter, Jim Lane]
-
A.
Christopher J. Lane
Christopher J. Lane is a scholar and author known for his work in psychology, psychiatry, and cultural criticism.
-
B.
Dan Jewett
Dan Jewett is an American science teacher known for his brief marriage to billionaire philanthropist and novelist MacKenzie Scott.
-
C.
Keith Fraase
Keith Fraase is a film editor best known for his work on the movie "Chappaquiddick."
-
D.
Sam Wheeler
Sam Wheeler is the father of Ted Wheeler, the mayor of Portland, Oregon.
-
E.
Michael Larsen
Michael Larsen is the person credited with coining the now-popular term “Painted Ladies” to describe the colorfully restored Victorian and Edwardian houses of San Francisco.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Jim Lane Triple: [Test Pilot (1938 film), mainCharacter, Jim Lane]
Generated description
Jim Lane is the fictional protagonist of the 1938 aviation drama film "Test Pilot," portrayed as a daring and charismatic test pilot.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Jim Lane Target entity description: Jim Lane is the fictional protagonist of the 1938 aviation drama film "Test Pilot," portrayed as a daring and charismatic test pilot.
-
A.
Christopher J. Lane
Christopher J. Lane is a scholar and author known for his work in psychology, psychiatry, and cultural criticism.
-
B.
Dan Jewett
Dan Jewett is an American science teacher known for his brief marriage to billionaire philanthropist and novelist MacKenzie Scott.
-
C.
Keith Fraase
Keith Fraase is a film editor best known for his work on the movie "Chappaquiddick."
-
D.
Sam Wheeler
Sam Wheeler is the father of Ted Wheeler, the mayor of Portland, Oregon.
-
E.
Michael Larsen
Michael Larsen is the person credited with coining the now-popular term “Painted Ladies” to describe the colorfully restored Victorian and Edwardian houses of San Francisco.
- F. None of above. chosen
Provenance (5 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_69a49429f5ec8190a6a205eb0ae81e5e |
completed | March 1, 2026, 7:31 p.m. |
| NER | Named-entity recognition | batch_69a4bd9fece4819089a6a2d61e61fa2e |
completed | March 1, 2026, 10:28 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ac831703bc8190839deb02075cb8fd |
completed | March 7, 2026, 7:57 p.m. |
| NEDg | Description generation | batch_69ac838fc3d08190aa43d7f2767fe7d2 |
completed | March 7, 2026, 7:59 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ac8425ab408190a25c0f5db40ae77f |
completed | March 7, 2026, 8:01 p.m. |
Created at: March 1, 2026, 7:46 p.m.