Triple
T6904503
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Joel McCrea |
E159573
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object |
Wichita
Wichita is a 1955 American Western film starring Joel McCrea as lawman Wyatt Earp in the turbulent Kansas cattle town.
|
E666469
|
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: Wichita | Statement: [Joel McCrea, notableWork, Wichita]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Wichita Context triple: [Joel McCrea, notableWork, Wichita]
-
A.
Wichita
Wichita is a savvy, resourceful con artist and one of the central survivors in the post-apocalyptic comedy film "Zombieland."
-
B.
Wichita, Kansas
Wichita, Kansas is the largest city in the state of Kansas, known as a major center for the U.S. aircraft industry and situated in south-central Kansas along the Arkansas River.
-
C.
Topeka, Kansas
Topeka, Kansas is the capital city of the U.S. state of Kansas, historically significant as the community at the center of the landmark school desegregation case Brown v. Board of Education.
-
D.
Junction City
Junction City is a small rural town located in Talbot County, Georgia, in the United States.
-
E.
Ottawa, Kansas
Ottawa, Kansas is a small city in eastern Kansas known as the county seat of Franklin County and part of the greater Kansas City region.
- 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: Wichita Triple: [Joel McCrea, notableWork, Wichita]
Generated description
Wichita is a 1955 American Western film starring Joel McCrea as lawman Wyatt Earp in the turbulent Kansas cattle town.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Wichita Target entity description: Wichita is a 1955 American Western film starring Joel McCrea as lawman Wyatt Earp in the turbulent Kansas cattle town.
-
A.
Wichita
Wichita is a savvy, resourceful con artist and one of the central survivors in the post-apocalyptic comedy film "Zombieland."
-
B.
Wichita, Kansas
Wichita, Kansas is the largest city in the state of Kansas, known as a major center for the U.S. aircraft industry and situated in south-central Kansas along the Arkansas River.
-
C.
Topeka, Kansas
Topeka, Kansas is the capital city of the U.S. state of Kansas, historically significant as the community at the center of the landmark school desegregation case Brown v. Board of Education.
-
D.
Junction City
Junction City is a small rural town located in Talbot County, Georgia, in the United States.
-
E.
Ottawa, Kansas
Ottawa, Kansas is a small city in eastern Kansas known as the county seat of Franklin County and part of the greater Kansas City region.
- 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_69c6883822e0819091e321526f20ae0a |
completed | March 27, 2026, 1:38 p.m. |
| NER | Named-entity recognition | batch_69c6d989c13081908a2e346cde9e3a50 |
completed | March 27, 2026, 7:24 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c83423e5008190881a7e956c716687 |
completed | March 28, 2026, 8:03 p.m. |
| NEDg | Description generation | batch_69c834b792f081908e9292905e4e0d37 |
completed | March 28, 2026, 8:06 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69c835d2474081908ec1e93c1ced0b1f |
completed | March 28, 2026, 8:10 p.m. |
Created at: March 27, 2026, 2:25 p.m.