Triple
T36894825
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dreams That Money Can Buy |
E911862
|
entity |
| Predicate | featuresSegmentBy |
P205108
|
FINISHED |
| Object | Max Ernst |
E192434
|
NE 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: Max Ernst | Statement: [Dreams That Money Can Buy, featuresSegmentBy, Max Ernst]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: featuresSegmentBy Context triple: [Dreams That Money Can Buy, featuresSegmentBy, Max Ernst]
-
A.
featuresSegment
Indicates that one entity includes or highlights a particular segment or portion of another entity as a notable part of it.
-
B.
featuresPostMatchSegmentWith
Indicates that one entity includes or is associated with a post-match segment involving another entity.
-
C.
featuresSample
Indicates that an entity includes or presents a particular sample as one of its components or examples.
-
D.
featuresGroup
Indicates that an entity includes or is associated with a specific group as one of its features or components.
-
E.
featuresSplitPerspective
Indicates that the subject presents or depicts its content from multiple viewpoints or angles simultaneously, rather than from a single, unified perspective.
- F. None of above. chosen
Provenance (5 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_69f76e841b54819097e7fa768bbc70b2 |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_6a037cad051c8190b28b354b89208574 |
completed | May 12, 2026, 7:17 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a3e162170708190b24d6042b883af68 |
completed | June 26, 2026, 6:03 a.m. |
| PD | Predicate disambiguation | batch_6a037a10036481909c71188b2a0e7f04 |
completed | May 12, 2026, 7:05 p.m. |
| PDg | Predicate description generation | batch_6a037c82f8c88190bd77a086023ac0e1 |
completed | May 12, 2026, 7:16 p.m. |
Created at: May 3, 2026, 4:13 p.m.