Triple
T32263229
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Max-D |
E824215
|
entity |
| Predicate | hasFanReputation |
P144861
|
FINISHED |
| Object | one of the most intense Monster Jam trucks |
—
|
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: one of the most intense Monster Jam trucks | Statement: [Max-D, hasFanReputation, one of the most intense Monster Jam trucks]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasFanReputation Context triple: [Max-D, hasFanReputation, one of the most intense Monster Jam trucks]
-
A.
haveReputation
Indicates that an entity is recognized or regarded in a certain way by others, reflecting its perceived character, quality, or status.
-
B.
fanExperienceReputation
chosen
Indicates the perceived quality or reputation of the experience that fans have with a person, organization, or event.
-
C.
hasReputationAmong
Indicates that an entity is regarded or perceived in a particular way by a specified group or audience.
-
D.
hasViewReputation
Indicates that an entity holds a reputation or recognized standing specifically related to viewing, observing, or accessing something.
-
E.
hasQuirkyReputation
Indicates that an entity is regarded by others as having an unusual, eccentric, or unconventional character or style.
- 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_69f3490e73588190915f282edd105772 |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_69fd35d108908190b79b1e8e6bbd62aa |
completed | May 8, 2026, 1:01 a.m. |
| PD | Predicate disambiguation | batch_69fd34cb46108190b43c3b7f67ec4cd4 |
completed | May 8, 2026, 12:56 a.m. |
Created at: May 1, 2026, 12:42 a.m.