Triple
T30513992
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Blindspot |
E776506
|
entity |
| Predicate | hasProtagonistWithAmnesia |
P170564
|
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, hasProtagonistWithAmnesia, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasProtagonistWithAmnesia Context triple: [Blindspot, hasProtagonistWithAmnesia, true]
-
A.
hasAmnesiacProtagonist
chosen
Indicates that the work features a main character who suffers from significant memory loss, which is central to the story or their role.
-
B.
erasesMemoriesOf
Indicates that one entity causes the memories of another entity to be removed or wiped out.
-
C.
regainsMemories
Indicates that an entity recovers previously lost or forgotten memories.
-
D.
hasMemoryBlackouts
Indicates that an entity experiences episodes of lost or impaired memory for certain periods or events.
-
E.
hasProtagonist
Indicates that a work of narrative has a main character who serves as its central focus or driving agent.
- 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_69f2249a155c8190b1d512106007e9bb |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_69ffed8912488190baa05f572e5b1b89 |
completed | May 10, 2026, 2:29 a.m. |
| PD | Predicate disambiguation | batch_69ffed12a76c8190ad85c6ac869c72e9 |
completed | May 10, 2026, 2:27 a.m. |
Created at: April 29, 2026, 8:16 p.m.