Triple
T11169971
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Saint Jack |
E264248
|
entity |
| Predicate | editedBy |
P1954
|
FINISHED |
| Object | William Reynolds |
E366621
|
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: William Reynolds | Statement: [Saint Jack, editedBy, William Reynolds]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: William Reynolds Context triple: [Saint Jack, editedBy, William Reynolds]
-
A.
William Reynolds
William Reynolds is a film editor best known for his work on the classic crime drama "The Godfather."
-
B.
William Reynolds
William Reynolds was an American film and television actor known for his supporting roles in 1950s melodramas and later for co-starring in the TV series "The F.B.I."
-
C.
William Reynolds
chosen
William Reynolds is a film editor known for his work on the 1960 adventure drama "Wild River."
-
D.
William Reynolds
William Reynolds was the brother of Union Major General John F. Reynolds, a prominent officer in the American Civil War.
-
E.
David Reynolds
David Reynolds is an American screenwriter best known for his work on acclaimed animated films such as Pixar's "Finding Nemo."
- 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_69d6aa9dafac8190bd90d2c74f661aa7 |
completed | April 8, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69d7e8952e248190b0751669e8c960b7 |
completed | April 9, 2026, 5:57 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e55630478c8190aeee4cc219209ccb |
completed | April 19, 2026, 10:24 p.m. |
Created at: April 8, 2026, 9:29 p.m.