Triple
T14079822
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Peter Shaw |
E338836
|
entity |
| Predicate | stepChild |
P11545
|
FINISHED |
| Object | David Shaw |
E1067265
|
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: David Shaw | Statement: [Peter Shaw, stepChild, David Shaw]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: David Shaw Context triple: [Peter Shaw, stepChild, David Shaw]
-
A.
David Shaw
David Shaw is an American football coach best known for his successful tenure as head coach of Stanford University's football program in the 2010s.
-
B.
David Shaw
David Shaw was an American screenwriter known for his work in mid-20th-century film and television.
-
C.
David Shaw
chosen
David Shaw is the son of American singer and actress Pat Suzuki.
-
D.
John Bloom
John Bloom is a film editor best known for his Academy Award-winning work on movies such as "Gandhi" and his editing contributions to notable films including "Charlie Wilson's War."
-
E.
David Harrington
David Harrington is a central character in Tyler Perry's drama series "The Haves and the Have Nots," known as a wealthy, politically connected attorney whose personal and professional conflicts drive much of the show's intrigue.
- 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_69d81c687b0c819087fd9ed4198403f8 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de5c5e027881908f610f5bab7598d4 |
completed | April 14, 2026, 3:25 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fcb672c08081908e1ff9030745776a |
completed | May 7, 2026, 3:57 p.m. |
Created at: April 9, 2026, 10:21 p.m.