Triple
T15416424
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pray for Me |
E369247
|
entity |
| Predicate | isTrackOn |
P3284
|
FINISHED |
| Object | Doggumentary |
E75394
|
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: Doggumentary | Statement: [Pray for Me, isTrackOn, Doggumentary]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Doggumentary Context triple: [Pray for Me, isTrackOn, Doggumentary]
-
A.
Doggumentary
chosen
Doggumentary is a studio album by American rapper Snoop Dogg that blends West Coast hip hop with diverse collaborations and themes reflecting his long-running career.
-
B.
Road Dog
"Road Dog" is a song by the rock band Natural History.
-
C.
Mad Dogs
Mad Dogs is a British dark comedy-drama television series about a group of middle-aged friends whose holiday in Spain spirals into crime and chaos.
-
D.
Doggie Daddy
Doggie Daddy is a protective and well-meaning anthropomorphic dog and father figure from the classic Hanna-Barbera animated series "Augie Doggie and Doggie Daddy."
-
E.
Dog Eat Dog
Dog Eat Dog is a 1985 studio album by Canadian singer-songwriter Joni Mitchell that marked a shift toward more synthesizer-driven, politically charged music in her catalog.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69d85a1849f48190bf898068b2806fae |
completed | April 10, 2026, 2:02 a.m. |
| NER | Named-entity recognition | batch_69e03ea8a8a081909749db1b29d85fcc |
completed | April 16, 2026, 1:43 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ffb0319f248190a37c9afa09c32428 |
completed | May 9, 2026, 10:07 p.m. |
Created at: April 10, 2026, 3:20 a.m.