Triple
T34371803
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Paul Kersey |
E882175
|
entity |
| Predicate | originalPortrayalEra |
P116916
|
FINISHED |
| Object | 1970s |
—
|
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: 1970s | Statement: [Paul Kersey, originalPortrayalEra, 1970s]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: originalPortrayalEra Context triple: [Paul Kersey, originalPortrayalEra, 1970s]
-
A.
depictedPersonEra
chosen
Indicates the historical era or time period associated with the person depicted in an image or representation.
-
B.
originalRecordingEra
Indicates the historical time period during which the original recording was made.
-
C.
visualEra
Indicates the historical or stylistic period to which the visual appearance or design of something belongs.
-
D.
originalAlbumEra
Indicates the time period or phase in which an album was first released or originally produced.
-
E.
originallyIntendedEra
Indicates the historical period or era that something was first designed, planned, or meant to belong to or be used in.
- 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_69f349bf5d7481908dd5da4cbdf74047 |
completed | April 30, 2026, 12:23 p.m. |
| NER | Named-entity recognition | batch_6a037c8ae0248190b7e2ce4bf852c22d |
completed | May 12, 2026, 7:16 p.m. |
| PD | Predicate disambiguation | batch_6a0379fbe4a08190bfe65ebd141164e9 |
completed | May 12, 2026, 7:05 p.m. |
Created at: May 1, 2026, 1:59 a.m.