Triple
T33773494
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lito Rodriguez |
E865448
|
entity |
| Predicate | numberInCluster |
P162398
|
FINISHED |
| Object | one of eight sensates |
—
|
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 eight sensates | Statement: [Lito Rodriguez, numberInCluster, one of eight sensates]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: numberInCluster Context triple: [Lito Rodriguez, numberInCluster, one of eight sensates]
-
A.
clusterConcentration
Indicates how densely the elements within a cluster are packed or distributed relative to one another.
-
B.
clusterDensity
Indicates the degree to which elements within a cluster are closely packed or concentrated relative to its size or volume.
-
C.
maximumClusterCount
Indicates the highest number of clusters that are allowed or can be formed in a given context.
-
D.
clusterPosition
chosen
Indicates the relative location or ordering of an element within a defined cluster or grouped set.
-
E.
numberWithinClass
Indicates that an entity has a specific numerical value or position that is defined relative to a particular class or category it belongs to.
- 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_69f3498df6f88190bf9647ea4e4a956e |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_6a0352b6c7dc81908f190060eb1e1857 |
completed | May 12, 2026, 4:17 p.m. |
| PD | Predicate disambiguation | batch_6a03507c37d4819091068b2ec5cacef9 |
completed | May 12, 2026, 4:08 p.m. |
Created at: May 1, 2026, 1:45 a.m.