Triple
T9305351
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tom Skerritt |
E223870
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | Picket Fences |
E785273
|
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: Picket Fences | Statement: [Tom Skerritt, notableWork, Picket Fences]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Picket Fences Context triple: [Tom Skerritt, notableWork, Picket Fences]
-
A.
Picket Fences
chosen
Picket Fences is an American television drama series from the 1990s that explores complex social and moral issues in a small-town setting.
-
B.
The Fence
The Fence is a documentary film by Rory Kennedy that critically examines the impact and effectiveness of the U.S.–Mexico border fence.
-
C.
Places in the Heart
Places in the Heart is a 1984 American drama film set in Depression-era Texas, focusing on a widow’s struggle to save her farm and family.
-
D.
Painted Ladies
Painted Ladies are a famous row of colorful Victorian and Edwardian houses in San Francisco, often photographed with the city skyline in the background.
-
E.
Show Out
"Show Out" is a hip hop single by American rapper Roscoe Dash that helped establish his presence in the early 2010s rap scene.
- 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_69ca8424d0f08190831e2e93c6533aeb |
completed | March 30, 2026, 2:09 p.m. |
| NER | Named-entity recognition | batch_69cd1da7c1e08190af19169f5d806cde |
completed | April 1, 2026, 1:29 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d0c784f24481909af5f0daa1b8333a |
completed | April 4, 2026, 8:10 a.m. |
Created at: March 30, 2026, 7:36 p.m.