Triple
T17095266
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Our Private World |
E414830
|
entity |
| Predicate | hasProtagonist |
P8706
|
FINISHED |
| Object | Lisa Miller Hughes |
—
|
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: Lisa Miller Hughes | Statement: [Our Private World, hasProtagonist, Lisa Miller Hughes]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lisa Miller Hughes Context triple: [Our Private World, hasProtagonist, Lisa Miller Hughes]
-
A.
Lisa Miller Hughes
chosen
Lisa Miller Hughes is a long-running, central character on the American soap opera "As the World Turns," known for her dramatic relationships and evolving role over decades on the show.
-
B.
Laura Hughes
Laura Hughes is known as the sister of American Olympic figure skater Sarah Hughes.
-
C.
Mary Beth Hughes
Mary Beth Hughes was an American film and television actress best known for her roles in 1940s Hollywood dramas and crime films.
-
D.
Rachel Hughes
Rachel Hughes is a central character in the British television drama "This Life," known for her ambitious, sharp-tongued, and often conflicted personality as she navigates life and relationships in a group of young lawyers.
-
E.
Lisa Hughes
Lisa Hughes is a prominent American television news anchor and journalist, best known for her long-running work with WBZ-TV in Boston.
- 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_69d886cfc8e88190b05ba466edd35591 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3dbfc9158819081689d3d594a1908 |
completed | April 18, 2026, 7:31 p.m. |
Created at: April 10, 2026, 5:35 a.m.