Triple
T11857810
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Green Acres |
E282083
|
entity |
| Predicate | developer |
P73
|
FINISHED |
| Object | Jay Sommers |
E951671
|
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: Jay Sommers | Statement: [Green Acres, developer, Jay Sommers]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jay Sommers Context triple: [Green Acres, developer, Jay Sommers]
-
A.
Jay Sommers
chosen
Jay Sommers was an American television writer and producer best known for developing and writing the classic 1960s sitcom "Green Acres."
-
B.
Jeremy Sommers
Jeremy Sommers is a character in Isabel Allende's novel "Daughter of Fortune," depicted as a young Englishman whose ambitions and relationships help drive the story’s exploration of love, identity, and the California Gold Rush.
-
C.
Jamie Sommers
Jamie Sommers is a hip-hop artist known for her collaborations and appearances on underground rap projects such as "Digital Bullet."
-
D.
Alex Somers
Alex Somers is an American composer, producer, and musician known for his atmospheric, experimental soundscapes and frequent collaborations with Jónsi and Sigur Rós.
-
E.
Jo Morrow
Jo Morrow is an American actress best known for her film and television roles in the late 1950s and early 1960s.
- 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_69d6ab287ba48190a5178779fd19b9b7 |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d8a699089c8190b7a298baf13dcded |
completed | April 10, 2026, 7:28 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f417a954e881909fdd9626d41229e2 |
completed | May 1, 2026, 3:02 a.m. |
Created at: April 8, 2026, 9:43 p.m.