Triple
T32334632
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jefferson Park High School |
E826138
|
entity |
| Predicate | mediumOfNotableAppearance |
P55029
|
FINISHED |
| Object | Paper Towns (2008 novel) |
—
|
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: Paper Towns (2008 novel) | Statement: [Jefferson Park High School, mediumOfNotableAppearance, Paper Towns (2008 novel)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: mediumOfNotableAppearance Context triple: [Jefferson Park High School, mediumOfNotableAppearance, Paper Towns (2008 novel)]
-
A.
notableAppearance
Indicates that an entity is prominently featured or makes a significant appearance in another work, event, or context.
-
B.
notableAppearanceIn
chosen
Indicates that an entity is prominently featured or plays a significant role in a particular work, event, or context.
-
C.
notableAppearanceType
Indicates the type or category of a notable appearance associated with an entity, such as a significant role, cameo, or featured presence.
-
D.
notableMedia
Indicates a relationship where a media work is recognized as significant, prominent, or especially relevant in connection with a given entity.
-
E.
usedInMediaOf
Indicates that something (e.g., a work, element, or content) is employed or appears within a particular media work or production.
- 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_69f34913d9048190befaa634025232be |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_69f6be1779cc8190abe386c03d31d385 |
completed | May 3, 2026, 3:16 a.m. |
| PD | Predicate disambiguation | batch_69f6ba6cef208190bc5cd43d96127004 |
completed | May 3, 2026, 3:01 a.m. |
Created at: May 1, 2026, 12:48 a.m.