Triple
T21946006
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | H. W. Plainview |
E541934
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Plainview |
—
|
NE NERFINISHED |
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: Plainview | Statement: [H. W. Plainview, familyName, Plainview]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Plainview Context triple: [H. W. Plainview, familyName, Plainview]
-
A.
Plainview
Plainview is a small rural city located in northeastern Nebraska in the United States.
-
B.
Plainview
Plainview is a small city in northwestern Texas that serves as a regional agricultural and commercial center in the Texas Panhandle.
-
C.
Plainview
Plainview is a barangay in Mandaluyong City, Metro Manila, known for its dense residential areas and proximity to major commercial and transport hubs.
-
D.
Plainview
chosen
Plainview is a fictional surname most prominently associated with characters in the film "There Will Be Blood," including oilman Daniel Plainview and his adopted son H. W. Plainview.
-
E.
Bella Vista
Bella Vista is a historic, culturally vibrant neighborhood in South Philadelphia known for its Italian Market and diverse dining scene.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e0c47ef0e48190a50e1bcc43f4b3fd |
completed | April 16, 2026, 11:14 a.m. |
| NER | Named-entity recognition | batch_69f12427c2b48190949c41bd3be2d9f3 |
completed | April 28, 2026, 9:18 p.m. |
Created at: April 16, 2026, 7:57 p.m.