Triple
T27782916
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Goldie Wilson |
E699380
|
entity |
| Predicate | hasFictionalOffice |
P189332
|
FINISHED |
| Object | Hill Valley City Hall |
—
|
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: Hill Valley City Hall | Statement: [Goldie Wilson, hasFictionalOffice, Hill Valley City Hall]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasFictionalOffice Context triple: [Goldie Wilson, hasFictionalOffice, Hill Valley City Hall]
-
A.
hasOffice
Indicates that an entity possesses or maintains an office at a particular location or within a specific organization.
-
B.
hasFictionalAdministration
Indicates that an entity is governed, managed, or overseen by an administration that is fictional rather than real.
-
C.
hasFictionalGovernmentAgency
Indicates that an entity includes, features, or is associated with a government agency that is fictional rather than real.
-
D.
hasFictionalStaffMember
Indicates that an entity includes or employs a staff member who is a fictional character.
-
E.
hasProperOffice
Indicates that an entity maintains an officially designated, appropriate office or place of business.
- 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_69ef6a4b5a9081909c9111396c2be3d2 |
completed | April 27, 2026, 1:53 p.m. |
| NER | Named-entity recognition | batch_69fbbc49da8c8190902bbb05d2477cab |
completed | May 6, 2026, 10:10 p.m. |
| PD | Predicate disambiguation | batch_69fbb13f34b08190bbbb220ac1e6e666 |
completed | May 6, 2026, 9:23 p.m. |
| PDg | Predicate description generation | batch_69fbbc48b75c8190bec27dd4b7de797f |
completed | May 6, 2026, 10:10 p.m. |
Created at: April 27, 2026, 5:11 p.m.