Triple
T13749521
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Five Percenters |
E330304
|
entity |
| Predicate | usesText |
P98
|
FINISHED |
| Object | 120 Lessons |
E1060480
|
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: 120 Lessons | Statement: [Five Percenters, usesText, 120 Lessons]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: 120 Lessons Context triple: [Five Percenters, usesText, 120 Lessons]
-
A.
120 Lessons
chosen
120 Lessons is a core body of doctrinal and instructional material associated with the Nation of Gods and Earths (Five Percent Nation), outlining its foundational teachings and principles.
-
B.
Lessons
Lessons is a 2022 novel by Ian McEwan that follows a man's life across decades of personal and historical upheaval, exploring memory, trauma, and the passage of time.
-
C.
Object Lessons
Object Lessons is a coming-of-age novel by Anna Quindlen that explores family dynamics, identity, and adolescence in suburban America.
-
D.
Lyssons
Lyssons is a coastal community located in the parish of St. Thomas in eastern Jamaica.
-
E.
"Five Lessons Learned"
"Five Lessons Learned" is a high-energy punk rock song by Swingin' Utters, known for its appearance on the Tony Hawk's Pro Skater 2 soundtrack.
- 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_69d81c573f288190aa2403d484fa3d49 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de02148c208190a882927905a861a6 |
completed | April 14, 2026, 9 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f7b06d9fd48190a10b86a0d68fac70 |
completed | May 3, 2026, 8:30 p.m. |
Created at: April 9, 2026, 10:08 p.m.