Triple
T2188790
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | John Grisham |
E49813
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Grisham |
E49813
|
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: Grisham | Statement: [John Grisham, familyName, Grisham]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Grisham Context triple: [John Grisham, familyName, Grisham]
-
A.
John Grisham
chosen
John Grisham is a bestselling American author renowned for his legal thrillers, many of which have been adapted into successful films.
-
B.
Winston Groom
Winston Groom was an American novelist and non-fiction writer best known as the author of the novel "Forrest Gump," which inspired the acclaimed film adaptation.
-
C.
John Hart
John Hart is a film producer best known for his work on literary adaptations and independent movies, including the 2002 adaptation of "Nicholas Nickleby."
-
D.
David Baldacci
David Baldacci is a bestselling American novelist known for his fast-paced legal and political thrillers, including "Absolute Power" and the "King & Maxwell" series.
-
E.
Harry Hart
Harry Hart is a suave, highly skilled British secret agent and mentor figure in the Kingsman film series.
- 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_69a88aaba3c48190b351cab9b26989ff |
completed | March 4, 2026, 7:40 p.m. |
| NER | Named-entity recognition | batch_69abbf373c608190b7716c137b3e9fe9 |
completed | March 7, 2026, 6:01 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ae5dada268819082ddc4acd58e19f3 |
completed | March 9, 2026, 5:42 a.m. |
Created at: March 4, 2026, 7:46 p.m.