Triple
T18637999
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jane Porter |
E455604
|
entity |
| Predicate | portrayedInFilmBy |
P9616
|
FINISHED |
| Object | Olivia d’Abo |
—
|
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: Olivia d’Abo | Statement: [Jane Porter, portrayedInFilmBy, Olivia d’Abo]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Olivia d’Abo Context triple: [Jane Porter, portrayedInFilmBy, Olivia d’Abo]
-
A.
Olivia d'Abo
chosen
Olivia d'Abo is an English-American actress and singer best known for her roles in films like "Conan the Destroyer" and the TV series "The Wonder Years."
-
B.
Olivia Lord
Olivia Lord is a fictional character portrayed by Australian-American actress Portia de Rossi.
-
C.
Olivia Groesbeck
Olivia Groesbeck was the wife of Union Civil War General Joseph Hooker and a member of a prominent 19th-century American political family.
-
D.
Olivia Harlan
Olivia Harlan is an American sportscaster and television host known for her work as a sideline reporter on major college football and basketball broadcasts.
-
E.
Olivia Burns
Olivia Burns is one of the children of acclaimed American documentary filmmaker Ken Burns.
- 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_69d8d38cc7948190a55ea64e5638994e |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e54fc9fa6c81909e1b988bdfb5ebcc |
completed | April 19, 2026, 9:57 p.m. |
Created at: April 10, 2026, 11:47 a.m.