Triple
T36785804
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Alexander Dane |
E908907
|
entity |
| Predicate | laterAttitudeTowardFans |
P202794
|
FINISHED |
| Object | appreciative |
—
|
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: appreciative | Statement: [Alexander Dane, laterAttitudeTowardFans, appreciative]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: laterAttitudeTowardFans Context triple: [Alexander Dane, laterAttitudeTowardFans, appreciative]
-
A.
laterAttitudeTowardShow
Indicates a subject’s attitude or opinion toward a show at a later point in time, relative to some earlier reference point.
-
B.
fanAppeal
Indicates that something has qualities or characteristics that attract, engage, or strongly appeal to fans.
-
C.
laterAttitudeTowardAllison
Indicates a subject’s attitude or feelings toward Allison at a subsequent time relative to some earlier reference point.
-
D.
fanInvolved
Indicates that a fan actively participates in or is directly involved with a particular event, activity, or interaction.
-
E.
fanAccess
Indicates that an entity has permission or the ability to access fan-related content, features, or areas associated with another entity.
- 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_69f76e7a937c81909ed7359641e670f6 |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_6a00bb3a6f888190b3ecd0fbc9af9b4a |
completed | May 10, 2026, 5:07 p.m. |
| PD | Predicate disambiguation | batch_6a00b902dbf881909e098ff102b7ea7e |
completed | May 10, 2026, 4:57 p.m. |
| PDg | Predicate description generation | batch_6a00bb39c9c88190b82c8a8fb6489a61 |
completed | May 10, 2026, 5:07 p.m. |
Created at: May 3, 2026, 4:12 p.m.