Triple
T11186676
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | William Woodward Jr. |
E264685
|
entity |
| Predicate | father |
P120
|
FINISHED |
| Object | William Woodward Sr. |
E264685
|
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 Woodward Sr. | Statement: [William Woodward Jr., father, William Woodward Sr.]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: William Woodward Sr. Context triple: [William Woodward Jr., father, William Woodward Sr.]
-
A.
William Woodward
chosen
William Woodward is a name shared by several notable individuals, including American politicians, businessmen, and artists distinguished in their respective fields.
-
B.
John Potts
John Potts was an 18th-century ironmaster and founder of the town that became Pottstown, Pennsylvania.
-
C.
Charles W. Woodward
Charles W. Woodward was a prominent figure significant enough in his community or field to have a high school named in his honor.
-
D.
William Dozier
William Dozier was an American film and television producer best known for producing and narrating the 1960s "Batman" TV series.
-
E.
William Wheeler
William Wheeler is an American screenwriter known for his work on films such as the biographical drama "Queen of Katwe."
- 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_69d6aa9eb9248190b20211772621b4bc |
completed | April 8, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69d7e8abbeac8190ad6e419258999f4e |
completed | April 9, 2026, 5:58 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e483d0f4548190b97c7725a9f7c0e6 |
completed | April 19, 2026, 7:27 a.m. |
Created at: April 8, 2026, 9:29 p.m.