Triple
T37763594
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tony Hawk's American Wasteland |
E941349
|
entity |
| Predicate | AmericanTitle |
P89893
|
FINISHED |
| Object | Tony Hawk's American Wasteland |
—
|
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: Tony Hawk's American Wasteland | Statement: [Tony Hawk's American Wasteland, AmericanTitle, Tony Hawk's American Wasteland]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: AmericanTitle Context triple: [Tony Hawk's American Wasteland, AmericanTitle, Tony Hawk's American Wasteland]
-
A.
titleInUnitedStates
chosen
Indicates that an entity holds or is known by a particular title specifically within the context of the United States.
-
B.
UKTitle
Indicates that an entity holds a specific title or name as used in the United Kingdom context.
-
C.
USTitles
Indicates that the entity holds or is associated with official titles or designations specific to the United States.
-
D.
traditionalTitleGivenBy
Indicates that one entity has conferred or assigned a traditional or customary title to another entity.
-
E.
traditionalTitle
Indicates that an entity holds or is associated with a customary or historically established title or honorific within a cultural or social tradition.
- 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_69f76ee3251881909bb4451aad50752b |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_69fbaf18085481908c774e8f8bbb9a41 |
completed | May 6, 2026, 9:14 p.m. |
| PD | Predicate disambiguation | batch_69fbadf632ec8190b14991c971258307 |
completed | May 6, 2026, 9:09 p.m. |
Created at: May 3, 2026, 4:19 p.m.