Triple
T14079820
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Peter Shaw |
E338836
|
entity |
| Predicate | child |
P120
|
FINISHED |
| Object | Anthony Pullen Shaw |
E392075
|
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: Anthony Pullen Shaw | Statement: [Peter Shaw, child, Anthony Pullen Shaw]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Anthony Pullen Shaw Context triple: [Peter Shaw, child, Anthony Pullen Shaw]
-
A.
Anthony Pullen Shaw
chosen
Anthony Pullen Shaw is a British actor and television director, best known for directing numerous episodes of the series "Murder, She Wrote."
-
B.
George Shaw
George Shaw was an 18th–19th century English zoologist and botanist known for his early scientific descriptions of Australian fauna.
-
C.
C. Montague Shaw
C. Montague Shaw was an Australian-born character actor known for his numerous supporting roles in American films and serials during the early 20th century.
-
D.
William Louis Sharp
William Louis Sharp, better known as Billy Sharp, is an English professional footballer recognized as a prolific striker, particularly for his goal-scoring exploits in the English Football League.
-
E.
J. C. Shaw
J. C. Shaw was a pioneering computer scientist known for co-developing early artificial intelligence programs, including the Logic Theorist.
- 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_69fd466febb88190986eb8f033d29279 |
completed | May 8, 2026, 2:12 a.m. |
Created at: April 9, 2026, 10:21 p.m.