Triple
T7151821
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | King County Executive |
E166708
|
entity |
| Predicate | positionHeldBy |
P8
|
FINISHED |
| Object |
Tim Hill
Tim Hill is an American politician who served as the King County Executive in Washington State.
|
E646047
|
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: Tim Hill | Statement: [King County Executive, positionHeldBy, Tim Hill]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tim Hill Context triple: [King County Executive, positionHeldBy, Tim Hill]
-
A.
Tim Hill
Tim Hill is an American film director and screenwriter best known for family-oriented live-action and animated movies such as "Hop," "Alvin and the Chipmunks," and "The SpongeBob SquarePants Movie."
-
B.
Aaron Hill
Aaron Hill was an 18th-century English dramatist and theatre manager known for his plays, adaptations, and involvement in the London stage.
-
C.
Andy Hill
Andy Hill is a British songwriter and record producer best known for his work on numerous pop hits, particularly with the group Bucks Fizz.
-
D.
Andy Hill
Andy Hill is the husband of British heptathlon Olympic champion Jessica Ennis-Hill and is known primarily for his connection to her.
-
E.
Mike Hill
Mike Hill was an American film editor best known for his long-time collaboration with director Ron Howard on acclaimed films such as "A Beautiful Mind."
- 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: Tim Hill Triple: [King County Executive, positionHeldBy, Tim Hill]
Generated description
Tim Hill is an American politician who served as the King County Executive in Washington State.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Tim Hill Target entity description: Tim Hill is an American politician who served as the King County Executive in Washington State.
-
A.
Tim Hill
Tim Hill is an American film director and screenwriter best known for family-oriented live-action and animated movies such as "Hop," "Alvin and the Chipmunks," and "The SpongeBob SquarePants Movie."
-
B.
Aaron Hill
Aaron Hill was an 18th-century English dramatist and theatre manager known for his plays, adaptations, and involvement in the London stage.
-
C.
Andy Hill
Andy Hill is a British songwriter and record producer best known for his work on numerous pop hits, particularly with the group Bucks Fizz.
-
D.
Andy Hill
Andy Hill is the husband of British heptathlon Olympic champion Jessica Ennis-Hill and is known primarily for his connection to her.
-
E.
Mike Hill
Mike Hill was an American film editor best known for his long-time collaboration with director Ron Howard on acclaimed films such as "A Beautiful Mind."
- 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_69c68886779c8190a8e3fbabffe68253 |
completed | March 27, 2026, 1:39 p.m. |
| NER | Named-entity recognition | batch_69c6e7f3e4a88190a3110f2368262528 |
completed | March 27, 2026, 8:26 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c7adad45208190a8e09173a4d26591 |
completed | March 28, 2026, 10:30 a.m. |
| NEDg | Description generation | batch_69c7aeb1c59c8190b02fcb731003ad31 |
completed | March 28, 2026, 10:34 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c7af2ad8a081909185cfd3a3d4e4d0 |
completed | March 28, 2026, 10:36 a.m. |
Created at: March 27, 2026, 2:46 p.m.