Triple
T29454759
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Damien (TV series) |
E747068
|
entity |
| Predicate | portraysDamienThorn |
P33556
|
FINISHED |
| Object | Bradley James |
—
|
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: Bradley James | Statement: [Damien (TV series), portraysDamienThorn, Bradley James]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: portraysDamienThorn Context triple: [Damien (TV series), portraysDamienThorn, Bradley James]
-
A.
portraysVampiresAs
Indicates how something represents or depicts vampires, especially in terms of their nature, traits, or role.
-
B.
portraysUnderworld
Indicates that an entity depicts or represents the underworld or a subterranean realm in some medium or context.
-
C.
portraysFictionalEntity
chosen
Indicates that one entity depicts, represents, or plays the role of a fictional character or figure.
-
D.
portrayedAsAdultBy
Indicates that one entity is depicted or represented as an adult by another entity (such as an artist, author, or creator).
-
E.
portraysAdamAs
Indicates that a subject represents or depicts Adam in a particular way, role, or characterization.
- 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_69f0a7a230488190b44a97fe3d16f731 |
completed | April 28, 2026, 12:27 p.m. |
| NER | Named-entity recognition | batch_69fd37b695c88190855801626f91c4cd |
completed | May 8, 2026, 1:09 a.m. |
| PD | Predicate disambiguation | batch_69fd374cccf08190a230e87164af5938 |
completed | May 8, 2026, 1:07 a.m. |
Created at: April 28, 2026, 3:35 p.m.