Triple
T15121825
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ghost (Justin Bieber song) |
E361188
|
entity |
| Predicate | trackNumberOnJustice |
P117415
|
FINISHED |
| Object | 12 |
—
|
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: 12 | Statement: [Ghost (Justin Bieber song), trackNumberOnJustice, 12]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: trackNumberOnJustice Context triple: [Ghost (Justin Bieber song), trackNumberOnJustice, 12]
-
A.
tribunalNumber
Indicates the identifying number assigned to a specific tribunal within a legal or administrative system.
-
B.
courtNumber
Indicates the specific numbered court (e.g., field, room, or venue) assigned or associated with an event, case, or match.
-
C.
hasJustice
Indicates that an entity possesses, upholds, or embodies justice in its actions, qualities, or governing principles.
-
D.
opusNumber
Indicates that a creative work is assigned a specific opus number identifying its place within a creator’s catalog or chronological sequence of works.
-
E.
track
Indicates that one entity follows, monitors, or keeps a record of another entity’s state, behavior, or progress over time.
- 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_69d85a06450081909c5a14ea9851a15e |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e0059f69a881909929a037a0eef702 |
completed | April 15, 2026, 9:39 p.m. |
| PD | Predicate disambiguation | batch_69deb96c1d9c81909351558ed97bc5b7 |
completed | April 14, 2026, 10:02 p.m. |
| PDg | Predicate description generation | batch_69dec71e8dcc81908badc834b6ccf273 |
completed | April 14, 2026, 11 p.m. |
Created at: April 10, 2026, 3:06 a.m.