Triple
T23138835
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Seesaw |
E577399
|
entity |
| Predicate | starred |
P5563
|
FINISHED |
| Object | Michele Lee |
E669476
|
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: Michele Lee | Statement: [Seesaw, starred, Michele Lee]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Michele Lee Context triple: [Seesaw, starred, Michele Lee]
-
A.
Michele Lee
chosen
Michele Lee is an American actress and singer best known for her long-running role as Karen MacKenzie on the prime-time soap opera "Knots Landing."
-
B.
Michele Lee
Michele Lee is a screenwriter best known for co-writing the comedy film "The Pink Panther 2."
-
C.
Christie Lee
"Christie Lee" is a song by Billy Joel from his 1983 album "An Innocent Man," known for its rock and roll style and narrative lyrics.
-
D.
Linda Cho
Linda Cho is a Tony Award–winning costume designer known for her work on major Broadway productions and other theatrical performances.
-
E.
Michele Kang
Michele Kang is a business executive and sports entrepreneur best known for leading ownership of the National Women's Soccer League club Washington Spirit.
- 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_69e245f8e6248190ba3d58e068b4dccb |
completed | April 17, 2026, 2:38 p.m. |
| NER | Named-entity recognition | batch_69f18e8e23988190814524f63a7efe36 |
completed | April 29, 2026, 4:52 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0c308db8288190b036cd297820da7c |
completed | May 19, 2026, 9:42 a.m. |
Created at: April 17, 2026, 4 p.m.