Triple
T27686897
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Little Green Men (Aliens) |
E698055
|
entity |
| Predicate | associatedLocationInFiction |
P84403
|
FINISHED |
| Object | Pizza Planet |
—
|
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: Pizza Planet | Statement: [Little Green Men (Aliens), associatedLocationInFiction, Pizza Planet]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: associatedLocationInFiction Context triple: [Little Green Men (Aliens), associatedLocationInFiction, Pizza Planet]
-
A.
basedInFiction
Indicates that an entity is located or primarily situated within a fictional setting, universe, or narrative world.
-
B.
fictionalLocationAssociatedWith
chosen
Indicates a relationship where a fictional entity (such as a character, event, or work) is connected to or set in a particular fictional location.
-
C.
basedInFictionalWorkLocation
Indicates that an entity’s location or setting is situated within a fictional place as depicted in a specific creative work.
-
D.
locatedNearFiction
Indicates that one fictional entity or place is situated close to another within an imagined or narrative context.
-
E.
locationWithinFiction
Indicates that one fictional location is situated inside or contained within another fictional 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_69ef590df8708190af5488f0638e790c |
completed | April 27, 2026, 12:39 p.m. |
| NER | Named-entity recognition | batch_6a005247dba08190acadf962bcefe4a0 |
completed | May 10, 2026, 9:39 a.m. |
| PD | Predicate disambiguation | batch_6a00519029848190a234358dfba45084 |
completed | May 10, 2026, 9:36 a.m. |
Created at: April 27, 2026, 2:50 p.m.