Triple
T14526300
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hillman College |
E340785
|
entity |
| Predicate | inUniverseAffiliationType |
P114610
|
FINISHED |
| Object | liberal arts college |
—
|
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: liberal arts college | Statement: [Hillman College, inUniverseAffiliationType, liberal arts college]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: inUniverseAffiliationType Context triple: [Hillman College, inUniverseAffiliationType, liberal arts college]
-
A.
inUniverseOrganization
Indicates that an organization exists and operates within a specified fictional or narrative universe.
-
B.
inUniverseFamily
Indicates that one entity is a family member of another within the same fictional or narrative universe.
-
C.
inUniverseType
Indicates that one entity exists within, or is categorized as belonging to, a particular fictional or conceptual universe type defined by the other entity.
-
D.
inUniverseAliasOf
Indicates that one entity is an alternative name or alias used for another entity within the same fictional universe or continuity.
-
E.
hasAffiliationType
Indicates that one entity is connected to another through a specified kind or category of affiliation or association.
- 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_69d822dac79c8190a84a073f3cbaced5 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69dea050781881909ed685d94479bf99 |
completed | April 14, 2026, 8:15 p.m. |
| PD | Predicate disambiguation | batch_69de5c518fc08190a6ce4d8be05c4c5d |
completed | April 14, 2026, 3:25 p.m. |
| PDg | Predicate description generation | batch_69de5fb5ac548190932f238e37271741 |
completed | April 14, 2026, 3:39 p.m. |
Created at: April 10, 2026, 1:22 a.m.