Triple
T23222088
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Laura Deming |
E580921
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Laura Deming |
E580921
|
NE FINISHED |
How this triple was built (2 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: Laura Deming | Statement: [Laura Deming, name, Laura Deming]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Laura Deming Context triple: [Laura Deming, name, Laura Deming]
-
A.
Laura Deming
chosen
Laura Deming is a venture capitalist and longevity researcher best known for founding The Longevity Fund, which invests in companies developing therapies to extend healthy human lifespan.
-
B.
Llaura McGee
Llaura McGee is a film director best known for her work on the project "If Found...".
-
C.
Connie Snyder
Connie Snyder is an American philanthropist and co-founder of the Ballmer Group, known for her work supporting children’s welfare, education, and social services.
-
D.
Ann Kirkpatrick
Ann Kirkpatrick is an American politician and attorney best known for serving multiple terms as a U.S. Representative from Arizona.
-
E.
Linda McDonough
Linda McDonough is a film producer best known for her work on the science fiction movie adaptation of "Ender's Game."
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69e246043c48819089bae72c9a9c306c |
completed | April 17, 2026, 2:39 p.m. |
| NER | Named-entity recognition | batch_69f1922924308190a26b00e09ce60ecd |
completed | April 29, 2026, 5:07 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0cdf29364c81909ad4a36ba28bb948 |
completed | May 19, 2026, 10:07 p.m. |
Created at: April 17, 2026, 4:08 p.m.