Triple
T28203972
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Truth Seekers |
E716962
|
entity |
| Predicate | workLocationOfFictionalCharacters |
P76778
|
FINISHED |
| Object | Smile internet company |
—
|
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: Smile internet company | Statement: [Truth Seekers, workLocationOfFictionalCharacters, Smile internet company]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: workLocationOfFictionalCharacters Context triple: [Truth Seekers, workLocationOfFictionalCharacters, Smile internet company]
-
A.
workLocationOfFictionalCharacter
chosen
Indicates the place or organization where a fictional character is depicted as working within their narrative context.
-
B.
basedInFictionalWorkLocation
Indicates that an entity’s location or setting is situated within a fictional place as depicted in a specific creative work.
-
C.
residentInFiction
Indicates that one entity is a fictional character or element that resides or exists within the fictional setting, world, or universe represented by another entity.
-
D.
worksAtFictionalPlace
Indicates that an entity is employed at or associated with performing work in a fictional or imaginary location.
-
E.
basedInFictionalLocation
Indicates that an entity’s primary setting, origin, or operations occur in a fictional (non-real) location.
- 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_69efd6b826908190857e6e7dad74ed93 |
completed | April 27, 2026, 9:35 p.m. |
| NER | Named-entity recognition | batch_69f6430c4510819089589fec7d1a01e6 |
completed | May 2, 2026, 6:31 p.m. |
| PD | Predicate disambiguation | batch_69f63c6c1a948190b68c0f92c264cc0c |
completed | May 2, 2026, 6:03 p.m. |
Created at: April 27, 2026, 10:34 p.m.