Triple
T7904335
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lieutenant Dan Taylor |
E183533
|
entity |
| Predicate | createdBy |
P806
|
FINISHED |
| Object | Winston Groom |
E184376
|
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: Winston Groom | Statement: [Lieutenant Dan Taylor, createdBy, Winston Groom]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Winston Groom Context triple: [Lieutenant Dan Taylor, createdBy, Winston Groom]
-
A.
Winston Groom
chosen
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.
-
B.
Pat Conroy
Pat Conroy was an American novelist and memoirist known for his lyrical prose and emotionally charged stories often set in the American South, including works like "The Prince of Tides" and "The Great Santini."
-
C.
Charles Portis
Charles Portis was an American novelist best known for his deadpan comic style and for writing the Western novel "True Grit," which inspired multiple film adaptations.
-
D.
Ty Grisham
Ty Grisham is a child of bestselling American legal-thriller author John Grisham.
-
E.
John Grisham
John Grisham is a bestselling American author renowned for his legal thrillers, many of which have been adapted into successful films.
- 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_69ca828d13088190b222be7aa9f9315c |
completed | March 30, 2026, 2:02 p.m. |
| NER | Named-entity recognition | batch_69cb3a4331cc8190b50301c78767a850 |
completed | March 31, 2026, 3:06 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cb5bc35cec8190bda3dfe7d8d4ed18 |
completed | March 31, 2026, 5:29 a.m. |
Created at: March 30, 2026, 5:02 p.m.