Triple
T8037440
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Karen O’Brien |
E187142
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Karen O’Brien |
E187142
|
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: Karen O’Brien | Statement: [Karen O’Brien, name, Karen O’Brien]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Karen O’Brien Context triple: [Karen O’Brien, name, Karen O’Brien]
-
A.
Karen O’Brien
chosen
Karen O’Brien is a British academic and university leader who serves as Vice-Chancellor of Durham University, overseeing its strategic direction and academic mission.
-
B.
Virginia O'Brien
Virginia O'Brien was an American film actress and singer best known for her deadpan comedic style and musical performances in MGM musicals of the 1940s.
-
C.
Helen O’Connell
Helen O’Connell was a popular American big band singer and entertainer best known for her work with Jimmy Dorsey’s orchestra in the 1940s.
-
D.
Elizabeth McLaughlin
Elizabeth McLaughlin is an American actress known for her roles in television series such as the psychological drama "Hand of God."
-
E.
Mary Mulhern
Mary Mulhern was an American actress best known for her brief Hollywood career in the silent film era and her marriage to actor Jack Pickford.
- 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_69ca82ae2d1081909dbfee42b41db419 |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cb3f188e1c8190b92760c91d31f2df |
completed | March 31, 2026, 3:27 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ccbe4211bc8190a784c19f11f17a39 |
completed | April 1, 2026, 6:42 a.m. |
Created at: March 30, 2026, 5:23 p.m.