Triple
T7054887
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Grace King |
E164061
|
entity |
| Predicate | basedOnAuthor |
P2806
|
FINISHED |
| Object | Meg Haston |
E676956
|
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: Meg Haston | Statement: [Grace King, basedOnAuthor, Meg Haston]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Meg Haston Context triple: [Grace King, basedOnAuthor, Meg Haston]
-
A.
Meg Haston
chosen
Meg Haston is an American author best known for her middle-grade and young adult novels, including the book that inspired the Nickelodeon television series "How to Rock."
-
B.
Lisa Gottsegen
Lisa Gottsegen is an American businesswoman and philanthropist best known as the longtime wife of actor Dustin Hoffman.
-
C.
Allison Feaster
Allison Feaster is a former American professional basketball player best known for her standout WNBA career and later work as an NBA front office executive.
-
D.
Shannon Doughton
Shannon Doughton is a musician best known as a principal performer associated with the band Pod.
-
E.
Megan McArthur
Megan McArthur is a NASA astronaut and oceanographer best known for her role as a mission specialist on Space Shuttle missions, including the final Hubble Space Telescope servicing flight.
- 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_69c68861678881909961ddf4d779f750 |
completed | March 27, 2026, 1:38 p.m. |
| NER | Named-entity recognition | batch_69c6e267664c81909501feb12683a002 |
completed | March 27, 2026, 8:02 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c98f54f0908190afec4f26e96d8173 |
completed | March 29, 2026, 8:45 p.m. |
Created at: March 27, 2026, 2:38 p.m.