Triple
T9656970
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hawkins |
E233482
|
entity |
| Predicate | hasNotableBearer |
P458
|
FINISHED |
| Object |
Laurel A. Hawkins
Laurel A. Hawkins is an American judge who serves on the Oregon Court of Appeals.
|
E879655
|
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: Laurel A. Hawkins | Statement: [Hawkins, hasNotableBearer, Laurel A. Hawkins]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Laurel A. Hawkins Context triple: [Hawkins, hasNotableBearer, Laurel A. Hawkins]
-
A.
Martha D. Saunders
Martha D. Saunders is an American academic administrator and communications scholar who has served as president of multiple universities, including the University of West Florida.
-
B.
Elaine F. Marshall
Elaine F. Marshall is an American politician and attorney who has served for many years as North Carolina’s Secretary of State, becoming the first woman elected to a statewide executive office in the state.
-
C.
Barbara M. Rolph
Barbara M. Rolph was the woman who sponsored the U.S. Navy heavy cruiser USS San Francisco (CA-38) at its launching ceremony.
-
D.
Darla K. Anderson
Darla K. Anderson is an American film producer best known for her work on several acclaimed Pixar animated features.
-
E.
Dona N. Sewell
Dona N. Sewell is a film editor best known for her work on the comedy movie "Austin Powers: International Man of Mystery."
- 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: Laurel A. Hawkins Triple: [Hawkins, hasNotableBearer, Laurel A. Hawkins]
Generated description
Laurel A. Hawkins is an American judge who serves on the Oregon Court of Appeals.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Laurel A. Hawkins Target entity description: Laurel A. Hawkins is an American judge who serves on the Oregon Court of Appeals.
-
A.
Martha D. Saunders
Martha D. Saunders is an American academic administrator and communications scholar who has served as president of multiple universities, including the University of West Florida.
-
B.
Elaine F. Marshall
Elaine F. Marshall is an American politician and attorney who has served for many years as North Carolina’s Secretary of State, becoming the first woman elected to a statewide executive office in the state.
-
C.
Barbara M. Rolph
Barbara M. Rolph was the woman who sponsored the U.S. Navy heavy cruiser USS San Francisco (CA-38) at its launching ceremony.
-
D.
Darla K. Anderson
Darla K. Anderson is an American film producer best known for her work on several acclaimed Pixar animated features.
-
E.
Dona N. Sewell
Dona N. Sewell is a film editor best known for her work on the comedy movie "Austin Powers: International Man of Mystery."
- 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_69ca848c1ba88190b84b410cd14627fc |
completed | March 30, 2026, 2:11 p.m. |
| NER | Named-entity recognition | batch_69cd9bdd5c0c8190a6c82a1609454d1b |
completed | April 1, 2026, 10:27 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d98801deb8819092a45193078f09b4 |
completed | April 10, 2026, 11:30 p.m. |
| NEDg | Description generation | batch_69d98ae8403c81908a229aa06bd0388a |
completed | April 10, 2026, 11:42 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69d98ce9ba0c8190a7c62fa670e23705 |
completed | April 10, 2026, 11:51 p.m. |
Created at: March 30, 2026, 8:14 p.m.