Triple
T30513989
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Blindspot |
E776506
|
entity |
| Predicate | hasTattooConspiracyTheme |
P172844
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [Blindspot, hasTattooConspiracyTheme, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasTattooConspiracyTheme Context triple: [Blindspot, hasTattooConspiracyTheme, true]
-
A.
hasTattoo
Indicates that one entity bears a tattoo on their body.
-
B.
hasTattooStyle
Indicates that an entity possesses or is associated with a particular style or type of tattoo.
-
C.
hasNotableTattooArtist
Indicates that an entity is associated with a tattoo artist who is recognized as notable or distinguished.
-
D.
hasMysteryCult
Indicates that an entity is associated with, participates in, or possesses a mystery cult, typically involving secret or esoteric religious practices.
-
E.
hasMotiveTheme
Indicates that an action, event, or situation is associated with a central motivating theme or underlying driving idea.
- F. None of above. chosen
Provenance (4 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_69f2249a155c8190b1d512106007e9bb |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_69f6b0d21dd08190a9883ff71c94c71c |
completed | May 3, 2026, 2:20 a.m. |
| PD | Predicate disambiguation | batch_69f6aca3dedc81908b519d53d2909868 |
completed | May 3, 2026, 2:02 a.m. |
| PDg | Predicate description generation | batch_69f6afeaaef88190aefa97e83f8db906 |
completed | May 3, 2026, 2:16 a.m. |
Created at: April 29, 2026, 8:16 p.m.