Triple
T17927570
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sharon Rooney |
E448236
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Sharon Rooney |
—
|
NE NERFINISHED |
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: Sharon Rooney | Statement: [Sharon Rooney, name, Sharon Rooney]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sharon Rooney Context triple: [Sharon Rooney, name, Sharon Rooney]
-
A.
Sharon Rooney
chosen
Sharon Rooney is a Scottish actress known for her breakout role in the TV series "My Mad Fat Diary" and subsequent work in film and television.
-
B.
Sharon McLonergan
Sharon McLonergan is a fictional character featured in the musical work "Look to the Rainbow."
-
C.
Sharon Cassidy
Sharon Cassidy is a central character in the 1996 ensemble drama film "Beautiful Girls," which explores the romantic and personal struggles of a group of small-town friends.
-
D.
Sharon Murphy
Sharon Murphy is best known as the mother of the late American actress Brittany Murphy and for her involvement in the public scrutiny and legal disputes that followed her daughter's death.
-
E.
Sharon Maughan
Sharon Maughan is a British actress known for her work in film, television, and theatre, including roles in the "Gold Blend" coffee adverts and series such as "Holby City."
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8b9f79d14819095540856928f0e25 |
completed | April 10, 2026, 8:51 a.m. |
| NER | Named-entity recognition | batch_69e4a54f29a88190b035d8473765bde5 |
completed | April 19, 2026, 9:50 a.m. |
Created at: April 10, 2026, 10:20 a.m.