Triple
T24204233
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Attitude Adjustment |
E600058
|
entity |
| Predicate | associatedWithTaunt |
P155189
|
FINISHED |
| Object | You Can’t See Me |
—
|
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: You Can’t See Me | Statement: [Attitude Adjustment, associatedWithTaunt, You Can’t See Me]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: associatedWithTaunt Context triple: [Attitude Adjustment, associatedWithTaunt, You Can’t See Me]
-
A.
associatedWithMonster
Indicates a relationship in which an entity is connected or linked in some notable way to a monster.
-
B.
associatedWithWeapon
Indicates that an entity has a connection or involvement with a weapon, such as ownership, use, presence, or relevance in a given context.
-
C.
associatedWithStand
Indicates a relationship where an entity is linked or connected to a particular stand, such as being located at, operating in, or otherwise related to that stand.
-
D.
associatedWithMatch
Indicates a relationship where an entity is linked or connected to a particular match or matching event.
-
E.
associatedWithArena
Indicates a relationship in which an entity is linked or connected to a particular arena, such as by location, use, affiliation, or operation.
- 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_69e288ceaab88190899d0acb5931591d |
completed | April 17, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69f27ca38c148190ae65cd692567d43d |
completed | April 29, 2026, 9:48 p.m. |
| PD | Predicate disambiguation | batch_69f1c43e55688190b55fc20274ed471c |
completed | April 29, 2026, 8:41 a.m. |
| PDg | Predicate description generation | batch_69f1c9834064819082024233d9c6f98f |
completed | April 29, 2026, 9:04 a.m. |
Created at: April 17, 2026, 11:37 p.m.