Triple
T675372
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Life of Pablo |
E13065
|
entity |
| Predicate | mainSingles |
P17930
|
FINISHED |
| Object | Famous |
—
|
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: Famous | Statement: [The Life of Pablo, mainSingles, Famous]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: mainSingles Context triple: [The Life of Pablo, mainSingles, Famous]
-
A.
mainSingle
Indicates that an entity is the primary or sole main instance among a set of related entities.
-
B.
grandSlamSinglesTitles
Indicates the number of Grand Slam singles tennis titles an entity has won.
-
C.
notableSingle
Indicates that the subject is particularly recognized or distinguished for one specific, individual instance (such as a single work, event, or achievement).
-
D.
hitSingle
Indicates that a batter successfully hits the ball and reaches first base safely, recording a single.
-
E.
mainIndex
Indicates that one entity serves as the primary or central index or reference point for another entity within a structured system.
- 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_69a4933d3bf88190972041cd8cf143b9 |
completed | March 1, 2026, 7:27 p.m. |
| NER | Named-entity recognition | batch_69a4a0266e7c8190a94c4b4b761c59f4 |
completed | March 1, 2026, 8:23 p.m. |
| PD | Predicate disambiguation | batch_69a49d1bbd0c81909cfbec30bd17bde7 |
completed | March 1, 2026, 8:10 p.m. |
| PDg | Predicate description generation | batch_69a49ebf33c481909949526cb8f223dd |
completed | March 1, 2026, 8:17 p.m. |
Created at: March 1, 2026, 7:36 p.m.