Triple
T11572766
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Manson Family (in-universe events) |
E274430
|
entity |
| Predicate | depictsSpahnRanchAs |
P1581
|
FINISHED |
| Object | decaying Western movie ranch occupied by cult |
—
|
LITERAL 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: decaying Western movie ranch occupied by cult | Statement: [Manson Family (in-universe events), depictsSpahnRanchAs, decaying Western movie ranch occupied by cult]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: depictsSpahnRanchAs Context triple: [Manson Family (in-universe events), depictsSpahnRanchAs, decaying Western movie ranch occupied by cult]
-
A.
depicts
chosen
Indicates that one entity visually represents, portrays, or shows another entity.
-
B.
depictsResidence
Indicates that one entity visually represents or portrays the place where another entity lives or resides.
-
C.
depictsName
Indicates that something visually represents or portrays the name of an entity.
-
D.
typicallyDepicts
Indicates that one entity is most commonly or characteristically portrayed or represented by the other in depictions or images.
-
E.
depictsCounty
Indicates that something visually represents or portrays a specific county.
- F. None of above.
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_69d6aae5ac3c81908d2b0a3a665665b2 |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d88dd6913881908becf188c0a7a275 |
completed | April 10, 2026, 5:42 a.m. |
| PD | Predicate disambiguation | batch_69d85dcbacd0819094d4a1237055affa |
completed | April 10, 2026, 2:17 a.m. |
Created at: April 8, 2026, 9:38 p.m.