Triple
T21275338
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Larry Kline |
E524372
|
entity |
| Predicate | settingUniverseLocation |
P26457
|
FINISHED |
| Object | fictional town of Hawkins, Indiana |
—
|
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: fictional town of Hawkins, Indiana | Statement: [Larry Kline, settingUniverseLocation, fictional town of Hawkins, Indiana]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: settingUniverseLocation Context triple: [Larry Kline, settingUniverseLocation, fictional town of Hawkins, Indiana]
-
A.
settingInUniverse
Indicates that one entity is set or takes place within the fictional universe defined by another entity.
-
B.
builtLocationInUniverse
Indicates that a construction or structure was created or established at a specific location within a particular universe or cosmic setting.
-
C.
setInUniverse
Indicates that something is located within, belongs to, or takes place in a particular fictional or conceptual universe.
-
D.
setInFictionalLocation
Indicates that an event, story, or narrative takes place within a fictional or imagined location rather than a real-world setting.
-
E.
fictionalUniverseLocation
chosen
Indicates that one entity is a location or setting within the fictional universe to which the other entity belongs or in which it takes place.
- 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_69e0b516293c819089458ea2ec85f85e |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e7365627a081908caea09097cca354 |
completed | April 21, 2026, 8:33 a.m. |
| PD | Predicate disambiguation | batch_69e5f6161dac8190b06009cd180e3ff7 |
completed | April 20, 2026, 9:47 a.m. |
Created at: April 16, 2026, 4:02 p.m.