Triple
T14952753
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Patricia Harrison |
E372837
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Patricia Harrison |
E372837
|
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: Patricia Harrison | Statement: [Patricia Harrison, name, Patricia Harrison]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Patricia Harrison Context triple: [Patricia Harrison, name, Patricia Harrison]
-
A.
Patricia Harrison
chosen
Patricia Harrison is an American public relations executive and former co-chair of the Republican National Committee who has served as president and CEO of the Corporation for Public Broadcasting.
-
B.
Patricia Haines
Patricia Haines was a British actress known for her television and film roles in the 1950s and 1960s.
-
C.
Carole Penny Marshall
Carole Penny Marshall was an American actress, director, and producer best known for starring in the sitcom "Laverne & Shirley" and directing hit films such as "Big" and "A League of Their Own."
-
D.
Diane English
Diane English is an American television writer and producer best known for creating the acclaimed sitcom "Murphy Brown."
-
E.
Patricia Marshall
Patricia Marshall was an American actress and singer best known for her work in mid-20th-century film and musical theatre.
- 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_69d85cca979481908747d2a81eba1cea |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69ded690f2e08190ad9dad6dc05a164a |
completed | April 15, 2026, 12:06 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fe8bda691481909c2d89a362782ed8 |
completed | May 9, 2026, 1:20 a.m. |
Created at: April 10, 2026, 2:39 a.m.