Triple
T20388956
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Meadville, Pennsylvania |
E498033
|
entity |
| Predicate | hasNotablePerson |
P304
|
FINISHED |
| Object | Marc Brown |
—
|
NE NERFINISHED |
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: Marc Brown | Statement: [Meadville, Pennsylvania, hasNotablePerson, Marc Brown]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Marc Brown Context triple: [Meadville, Pennsylvania, hasNotablePerson, Marc Brown]
-
A.
Marc Brown
chosen
Marc Brown is an American author and illustrator best known for creating the popular children's book and television series "Arthur."
-
B.
Beatrice Bentley
Beatrice Bentley was an actress known for her role in the early Technicolor silent film "The Toll of the Sea."
-
C.
Joanna Cole
Joanna Cole was an American children's author best known for writing the educational and humorous "The Magic School Bus" book series.
-
D.
Pamela Gray
Pamela Gray is an American screenwriter known for her work on character-driven drama films, including the military biographical film "Megan Leavey."
-
E.
Margery Williams
Margery Williams was a British-American author best known for her classic 1922 children's book "The Velveteen Rabbit."
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e0b4a71ebc8190b153a36c738730f4 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e6790d9e5881908bde7da9e5e541a0 |
completed | April 20, 2026, 7:05 p.m. |
Created at: April 16, 2026, 11:28 a.m.