Triple
T20743722
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sheila Reid |
E510510
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Sheila |
—
|
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: Sheila | Statement: [Sheila Reid, givenName, Sheila]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sheila Context triple: [Sheila Reid, givenName, Sheila]
-
A.
Sheila
chosen
Sheila is a feminine given name of Irish origin that has been widely used in English-speaking countries.
-
B.
Sheila Darcy
Sheila Darcy was an American film actress best known for her roles in 1930s and 1940s Hollywood B-movies and serials.
-
C.
Sheila Hailey
Sheila Hailey was a British-born writer and memoirist best known for her autobiographical works and for being married to bestselling novelist Arthur Hailey.
-
D.
Moira Crewe
Moira Crewe is a character in Neal Stephenson's science fiction novel "Seveneves," involved in the story's efforts to ensure humanity's survival after a catastrophic event.
-
E.
Sally Hibbin
Sally Hibbin is a British film and television producer known for her collaborations with director Ken Loach and her work on socially conscious, independent films.
- 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_69e0b4c845e88190b4c5f3ae79291182 |
completed | April 16, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69e6c21197088190951a4c4a7e765891 |
completed | April 21, 2026, 12:17 a.m. |
Created at: April 16, 2026, 12:33 p.m.