Triple
T1958008
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Penny Marshall |
E42313
|
entity |
| Predicate | sibling |
P363
|
FINISHED |
| Object | Garry Marshall |
E90787
|
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: Garry Marshall | Statement: [Penny Marshall, sibling, Garry Marshall]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Garry Marshall Context triple: [Penny Marshall, sibling, Garry Marshall]
-
A.
Garry Marshall
chosen
Garry Marshall was an American filmmaker, producer, and actor best known for creating and directing popular television sitcoms and romantic comedy films.
-
B.
Guy Rose
Guy Rose was an American Impressionist painter associated with the California art scene, known for his luminous landscapes and coastal scenes.
-
C.
John Hughes
John Hughes was a 19th-century Irish-born American Catholic archbishop of New York who played a major role in expanding Catholic education in the United States.
-
D.
Rob Marshall
Rob Marshall is an American film and theater director and choreographer best known for movie musicals such as "Chicago," "Into the Woods," and "Mary Poppins Returns."
-
E.
Reg Rogers
Reg Rogers is an American character actor known for his work in film, television, and theater, often portraying eccentric or villainous roles.
- 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_69a8870eea088190a38781990812a9bc |
completed | March 4, 2026, 7:25 p.m. |
| NER | Named-entity recognition | batch_69abb37e21cc8190b6e13b86bc93d594 |
completed | March 7, 2026, 5:11 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69adfbcc9ba48190985f48dbef1f2d94 |
completed | March 8, 2026, 10:44 p.m. |
Created at: March 4, 2026, 7:36 p.m.