Triple
T3461740
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Michael Learned |
E73040
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Michael Learned |
E73040
|
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: Michael Learned | Statement: [Michael Learned, name, Michael Learned]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Michael Learned Context triple: [Michael Learned, name, Michael Learned]
-
A.
Michael Learned
chosen
Michael Learned is an American actress best known for her Emmy-winning role as Olivia Walton on the television series "The Waltons."
-
B.
David Purviance
David Purviance was an early 19th-century American Presbyterian minister and reformer who played a key role in the Stone-Campbell Restoration Movement.
-
C.
Leslie Harter
Leslie Harter is a film producer known for her work in Hollywood and for being married to director Robert Zemeckis.
-
D.
Cy Howard
Cy Howard was an American radio and television writer, producer, and director best known for creating the popular radio series "My Friend Irma."
-
E.
Tom Bosley
Tom Bosley was an American actor best known for playing the warm, paternal Howard Cunningham on the classic television sitcom "Happy Days."
- 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_69ad85b224d481908ff8be51338d24ff |
completed | March 8, 2026, 2:20 p.m. |
| NER | Named-entity recognition | batch_69adbae745e081909007cd3a664c57f3 |
completed | March 8, 2026, 6:07 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b3680170e081909c0d3a39a741280d |
completed | March 13, 2026, 1:27 a.m. |
Created at: March 8, 2026, 3:17 p.m.