Triple
T37609050
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jake Cahill |
E935735
|
entity |
| Predicate | portrayalEraInUniverse |
P18945
|
FINISHED |
| Object | 1950s television |
—
|
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: 1950s television | Statement: [Jake Cahill, portrayalEraInUniverse, 1950s television]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: portrayalEraInUniverse Context triple: [Jake Cahill, portrayalEraInUniverse, 1950s television]
-
A.
portraysFictionalPeriod
Indicates that something (such as a work or representation) depicts or is set in a time period that is fictional rather than historical or contemporary reality.
-
B.
fictionalEra
chosen
Indicates the time period or age within a fictional or imaginary setting in which an entity exists or an event occurs.
-
C.
approximateFictionalEra
Indicates that one entity specifies an estimated or loosely defined fictional time period in which another entity is set or takes place.
-
D.
depictedPersonEra
Indicates the historical era or time period associated with the person depicted in an image or representation.
-
E.
portraysFictionalUniverse
Indicates that one entity depicts, represents, or presents the fictional universe in which another entity is set.
- 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_69f76ed0a85481909254a8a89090c826 |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_69ffacdf9f5c8190baef0245edfe87fc |
completed | May 9, 2026, 9:53 p.m. |
| PD | Predicate disambiguation | batch_69ffac5e86e08190a1e6da0840a237ad |
completed | May 9, 2026, 9:51 p.m. |
Created at: May 3, 2026, 4:18 p.m.