Triple
T34989477
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Vault City |
E1009339
|
entity |
| Predicate | attitudeTowardMutants |
P182472
|
FINISHED |
| Object | discriminatory |
—
|
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: discriminatory | Statement: [Vault City, attitudeTowardMutants, discriminatory]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: attitudeTowardMutants Context triple: [Vault City, attitudeTowardMutants, discriminatory]
-
A.
attitudeTowardMuggles
Indicates the nature or stance of an entity’s feelings, opinions, or disposition toward Muggles.
-
B.
attitudeTowardOutsiders
Indicates the stance, feelings, or disposition an entity holds toward individuals or groups considered outside its own group or community.
-
C.
attitudeTowardOthers
Indicates the nature or disposition of one entity’s feelings, judgments, or behavioral stance toward other entities.
-
D.
attitudeTowardMuggle-borns
Indicates the nature and degree of a subject’s feelings, beliefs, or stance toward Muggle-born individuals.
-
E.
hasUserAttitude
Indicates that one entity holds a particular attitude, opinion, or evaluative stance toward another entity or subject.
- 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_69f76dca50dc8190b71f39defe186be8 |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_69f78dbf72648190a4971a558e9d1889 |
completed | May 3, 2026, 6:02 p.m. |
| PD | Predicate disambiguation | batch_69f78b8f4cc08190b49fccd798cb25d7 |
completed | May 3, 2026, 5:53 p.m. |
| PDg | Predicate description generation | batch_69f78ce43094819093857fc99f269afe |
completed | May 3, 2026, 5:59 p.m. |
Created at: May 3, 2026, 4:01 p.m.