Triple
T10888243
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bob Ewell |
E257107
|
entity |
| Predicate | hasChild |
P369
|
FINISHED |
| Object | Burris Ewell |
E888056
|
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: Burris Ewell | Statement: [Bob Ewell, hasChild, Burris Ewell]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Burris Ewell Context triple: [Bob Ewell, hasChild, Burris Ewell]
-
A.
Burris Ewell
chosen
Burris Ewell is a filthy, ill-mannered Ewell child in "To Kill a Mockingbird," known for his brief, disruptive appearance in Scout Finch’s first-grade classroom.
-
B.
John R. Hardin
John R. Hardin was an American figure notable enough in New Jersey history to be interred at Hackensack Cemetery in Hackensack, New Jersey.
-
C.
Henry Lidgbird Ball
Henry Lidgbird Ball was an 18th-century British naval officer and explorer associated with early Pacific voyages and the charting of islands near Australia.
-
D.
Broderick Johnson
Broderick Johnson is an American film producer and co-founder of Alcon Entertainment, known for backing major Hollywood films such as "The Blind Side," "The Book of Eli," and "Transcendence."
-
E.
Paul Merryman
Paul Merryman is a film producer known for his work on the war drama movie "The Outpost."
- 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_69d6aa848804819081b2713ca0bedf06 |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d75201e6888190a2bc41a17784eec3 |
completed | April 9, 2026, 7:15 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e154f288b48190b0e840178d1071af |
completed | April 16, 2026, 9:30 p.m. |
Created at: April 8, 2026, 9:21 p.m.