Triple
T16635143
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lockeford, California |
E404178
|
entity |
| Predicate | namedAfter |
P63
|
FINISHED |
| Object |
Dean Locke
Dean Locke was an early settler and prominent local figure after whom the town of Lockeford, California, was named.
|
E1224157
|
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: Dean Locke | Statement: [Lockeford, California, namedAfter, Dean Locke]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dean Locke Context triple: [Lockeford, California, namedAfter, Dean Locke]
-
A.
Stan Coveleski
Stan Coveleski was a Hall of Fame Major League Baseball pitcher best known for his dominant spitball performances with the Cleveland Indians in the early 20th century.
-
B.
Austin Dempster
Austin Dempster is a cinematographer best known for his work on the fantasy-comedy film "Bedazzled."
-
C.
Michael Lannan
Michael Lannan is an American television writer and producer best known for creating the HBO series "Looking," which explores the lives of gay men in San Francisco.
-
D.
Jack Leiter
Jack Leiter is an American professional baseball pitcher and top prospect, known for his standout collegiate career at Vanderbilt University and as the son of former MLB pitcher Al Leiter.
-
E.
Brett Keller
Brett Keller is the chief executive officer of Priceline, a major online travel booking company.
- 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: Dean Locke Triple: [Lockeford, California, namedAfter, Dean Locke]
Generated description
Dean Locke was an early settler and prominent local figure after whom the town of Lockeford, California, was named.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Dean Locke Target entity description: Dean Locke was an early settler and prominent local figure after whom the town of Lockeford, California, was named.
-
A.
Stan Coveleski
Stan Coveleski was a Hall of Fame Major League Baseball pitcher best known for his dominant spitball performances with the Cleveland Indians in the early 20th century.
-
B.
Austin Dempster
Austin Dempster is a cinematographer best known for his work on the fantasy-comedy film "Bedazzled."
-
C.
Michael Lannan
Michael Lannan is an American television writer and producer best known for creating the HBO series "Looking," which explores the lives of gay men in San Francisco.
-
D.
Jack Leiter
Jack Leiter is an American professional baseball pitcher and top prospect, known for his standout collegiate career at Vanderbilt University and as the son of former MLB pitcher Al Leiter.
-
E.
Brett Keller
Brett Keller is the chief executive officer of Priceline, a major online travel booking company.
- 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_69d8838a41f08190b0c3f79c47df5078 |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e378e999d48190bff680040dbc883d |
completed | April 18, 2026, 12:28 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a007dc05bd881909c6b2e0d95622aa1 |
completed | May 10, 2026, 12:44 p.m. |
| NEDg | Description generation | batch_6a007e1909b88190ad2587b5d5433e2e |
completed | May 10, 2026, 12:46 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a007eda229c8190a6b99400141cf0b6 |
completed | May 10, 2026, 12:49 p.m. |
Created at: April 10, 2026, 5:17 a.m.