Triple
T24793621
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Making Mr. Right |
E620317
|
entity |
| Predicate | featuresAndroid |
P91500
|
FINISHED |
| Object | Ulysses |
—
|
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: Ulysses | Statement: [Making Mr. Right, featuresAndroid, Ulysses]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: featuresAndroid Context triple: [Making Mr. Right, featuresAndroid, Ulysses]
-
A.
hasAndroid
chosen
Indicates that an entity possesses, is equipped with, or is associated with an Android device, system, or component.
-
B.
featuresAbility
Indicates that one entity possesses, includes, or provides a particular ability or capability associated with another entity.
-
C.
featuresDevice
Indicates that one entity includes, incorporates, or provides the other entity as a device within it or as part of its functionality.
-
D.
platformIncludes
Indicates that a platform contains, supports, or provides access to the specified component, feature, or content.
-
E.
featuresMobFamily
Indicates that something includes, portrays, or prominently involves a mob or mafia family as part of its content or structure.
- 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_69e2fabe77c8819085f7ce6486248139 |
completed | April 18, 2026, 3:30 a.m. |
| NER | Named-entity recognition | batch_69f61f12b0f08190bc4a16907941864c |
completed | May 2, 2026, 3:58 p.m. |
| PD | Predicate disambiguation | batch_69f61b37a5648190b10d33ae205ccfee |
completed | May 2, 2026, 3:41 p.m. |
Created at: April 18, 2026, 4:47 a.m.