Triple
T3971112
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | His Girl Friday |
E92336
|
entity |
| Predicate | cinematographyBy |
P1953
|
FINISHED |
| Object | Joseph Walker |
E319628
|
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: Joseph Walker | Statement: [His Girl Friday, cinematographyBy, Joseph Walker]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Joseph Walker Context triple: [His Girl Friday, cinematographyBy, Joseph Walker]
-
A.
Joseph Walker
chosen
Joseph Walker was a prominent American cinematographer best known for his influential work during Hollywood’s Golden Age, particularly in collaboration with director Frank Capra.
-
B.
Rob Walker
Rob Walker is a technology entrepreneur best known as a co-founder of the semiconductor company LSI Logic.
-
C.
John Williams Walker
John Williams Walker was an early 19th-century American politician who served as one of Alabama’s first U.S. senators and played a key role in the state’s early political development.
-
D.
Don Walker
Don Walker was a prominent American orchestrator and arranger best known for his work on numerous Broadway musicals in the mid-20th century.
-
E.
James Walker
James Walker was a prominent 19th-century British civil engineer known for his influential role in advancing the profession and shaping major infrastructure projects in the United Kingdom.
- 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_69aed96624188190ac8c45bb57ab72b5 |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aef995d27881908b24a5b2ef57455f |
completed | March 9, 2026, 4:47 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b5400b75d081909b8e4840b15d19f1 |
completed | March 14, 2026, 11:01 a.m. |
Created at: March 9, 2026, 3:32 p.m.