Triple
T102256
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wally the Green Monster |
E2063
|
entity |
| Predicate | fictionalResidence |
P7550
|
FINISHED |
| Object | inside the Green Monster at Fenway Park |
—
|
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: inside the Green Monster at Fenway Park | Statement: [Wally the Green Monster, fictionalResidence, inside the Green Monster at Fenway Park]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: fictionalResidence Context triple: [Wally the Green Monster, fictionalResidence, inside the Green Monster at Fenway Park]
-
A.
residence
Indicates that one entity lives at, is based in, or habitually occupies the location represented by the other entity.
-
B.
residenceType
Indicates the kind or category of dwelling or living arrangement associated with an entity.
-
C.
fictionalizationOf
Indicates that one entity is a fictional or dramatized representation, adaptation, or reimagining of another (typically real or earlier) entity or event.
-
D.
isHomeOf
Indicates that a place serves as the primary residence or base for a person, group, or organization.
-
E.
foundationPlace
Indicates the place where an organization, institution, or similar entity was originally founded or established.
- 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_69a24e0a5b7c81908d52da08c60dabc4 |
completed | Feb. 28, 2026, 2:08 a.m. |
| NER | Named-entity recognition | batch_69a258e0b11c8190b7b5cf3c354c47ce |
completed | Feb. 28, 2026, 2:54 a.m. |
| PD | Predicate disambiguation | batch_69a2563a6ff48190bec582fb2f99b7af |
completed | Feb. 28, 2026, 2:43 a.m. |
| PDg | Predicate description generation | batch_69a258de46888190835db2b21a093eaa |
completed | Feb. 28, 2026, 2:54 a.m. |
Created at: Feb. 28, 2026, 2:12 a.m.