Triple
T32943490
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Shoe |
E842734
|
entity |
| Predicate | workEnvironmentOfCharacters |
P76778
|
FINISHED |
| Object | The Treetops Tribune |
—
|
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: The Treetops Tribune | Statement: [Shoe, workEnvironmentOfCharacters, The Treetops Tribune]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: workEnvironmentOfCharacters Context triple: [Shoe, workEnvironmentOfCharacters, The Treetops Tribune]
-
A.
genreOfWorkEnvironment
Indicates the type or style of work environment associated with a particular job, role, or organization.
-
B.
settingOfCharacterOccupation
Indicates the place or environment in which a character performs or holds their occupation.
-
C.
workCharacter
Indicates that a person is a fictional or narrative character appearing in a particular creative work.
-
D.
workEnvironmentDepiction
Indicates a depiction or representation of the conditions, atmosphere, or setting in which work or professional activities take place.
-
E.
workLocationOfFictionalCharacter
chosen
Indicates the place or organization where a fictional character is depicted as working within their narrative context.
- 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_69f34949727c81909d195c97de3341c8 |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_69f6d13d72f8819081fa08ae5b9d8bb1 |
completed | May 3, 2026, 4:38 a.m. |
| PD | Predicate disambiguation | batch_69f6cfe5f93c8190995c53dbbe380a32 |
completed | May 3, 2026, 4:32 a.m. |
Created at: May 1, 2026, 1:20 a.m.