Triple
T14351599
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Judging Amy |
E355865
|
entity |
| Predicate | creator |
P184
|
FINISHED |
| Object | Barbara Hall |
E513537
|
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: Barbara Hall | Statement: [Judging Amy, creator, Barbara Hall]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Barbara Hall Context triple: [Judging Amy, creator, Barbara Hall]
-
A.
Barbara Hall
chosen
Barbara Hall is an American television writer and producer best known for creating series such as "Madam Secretary" and "Joan of Arcadia."
-
B.
Barbara Hall
Barbara Hall is a Canadian politician who served as the 60th mayor of Toronto in the 1990s and later became Ontario's chief commissioner of human rights.
-
C.
Barbara M. Rolph
Barbara M. Rolph was the woman who sponsored the U.S. Navy heavy cruiser USS San Francisco (CA-38) at its launching ceremony.
-
D.
Barbara Richardson
Barbara Richardson is an American public figure best known as the longtime wife and partner of the late New Mexico governor and U.S. diplomat Bill Richardson, with whom she was active in civic and charitable causes.
-
E.
Margaret Haller
Margaret Haller is an American author best known for her books on etiquette and social behavior.
- 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_69d82790a7e08190877e2d349b2e8d8e |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de8f4e1e588190bdc7aaf7a2819948 |
completed | April 14, 2026, 7:02 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00aade82788190a5f3cedbc22065c4 |
completed | May 10, 2026, 3:57 p.m. |
Created at: April 10, 2026, 1:14 a.m.