Triple
T17530970
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Spencer County, Kentucky |
E426928
|
entity |
| Predicate | namedAfter |
P63
|
FINISHED |
| Object |
Spier Spencer
Spier Spencer was an American military officer and frontier leader after whom Spencer County, Kentucky, was named.
|
E1273061
|
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: Spier Spencer | Statement: [Spencer County, Kentucky, namedAfter, Spier Spencer]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Spier Spencer Context triple: [Spencer County, Kentucky, namedAfter, Spier Spencer]
-
A.
Spencer
Spencer is a masculine given name of English origin, historically associated with roles such as steward or dispenser and borne by various notable figures.
-
B.
Spencer
Spencer is a 2021 biographical psychological drama film depicting Princess Diana during a tense Christmas holiday with the British royal family, starring Kristen Stewart in the lead role.
-
C.
Spencer
Spencer is a small city located in Oklahoma County, Oklahoma, within the Oklahoma City metropolitan area.
-
D.
Spencer
Spencer is a small town in central Massachusetts known for its New England character and historic mill village roots.
-
E.
Spencer
Spencer is the middle name of American author and aviator Anne Spencer Lindbergh, reflecting her family’s naming tradition.
- 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: Spier Spencer Triple: [Spencer County, Kentucky, namedAfter, Spier Spencer]
Generated description
Spier Spencer was an American military officer and frontier leader after whom Spencer County, Kentucky, was named.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Spier Spencer Target entity description: Spier Spencer was an American military officer and frontier leader after whom Spencer County, Kentucky, was named.
-
A.
Spencer
Spencer is a masculine given name of English origin, historically associated with roles such as steward or dispenser and borne by various notable figures.
-
B.
Spencer
Spencer is a 2021 biographical psychological drama film depicting Princess Diana during a tense Christmas holiday with the British royal family, starring Kristen Stewart in the lead role.
-
C.
Spencer
Spencer is a small city located in Oklahoma County, Oklahoma, within the Oklahoma City metropolitan area.
-
D.
Spencer
Spencer is a small town in central Massachusetts known for its New England character and historic mill village roots.
-
E.
Spencer
Spencer is the middle name of American author and aviator Anne Spencer Lindbergh, reflecting her family’s naming tradition.
- 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_69d889de677081909b22d2657b1f0292 |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e453688950819098162d853cd2674e |
completed | April 19, 2026, 4 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a01c94b1ad48190b06c23661ac2d19c |
completed | May 11, 2026, 12:19 p.m. |
| NEDg | Description generation | batch_6a01c9efa2408190992ac4ecea051f2b |
completed | May 11, 2026, 12:22 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a01caed0ed08190b76f485cab1da514 |
completed | May 11, 2026, 12:26 p.m. |
Created at: April 10, 2026, 5:49 a.m.