Triple
T3021376
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jesus Lord pt 2 |
E82464
|
entity |
| Predicate | performer |
P1363
|
FINISHED |
| Object | The LOX |
E120272
|
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: The LOX | Statement: [Jesus Lord pt 2, performer, The LOX]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: The LOX Context triple: [Jesus Lord pt 2, performer, The LOX]
-
A.
The LOX
chosen
The LOX is an American hip hop group from Yonkers, New York, known for its gritty street lyrics and members Jadakiss, Styles P, and Sheek Louch.
-
B.
The Velvet Bulldozer
The Velvet Bulldozer was the nickname of blues guitarist and singer Albert King, highlighting his smooth yet powerful playing style and imposing stage presence.
-
C.
The Drop
The Drop is a crime drama novel by Dennis Lehane that follows a lonely bartender entangled in a dangerous scheme involving mob money, a stray dog, and a mysterious woman in working-class Brooklyn.
-
D.
The Smoke
The Smoke is the English name of Surah Ad-Dukhan, a chapter of the Qur’an that warns of a coming smoke as a sign of divine punishment and emphasizes God’s power and mercy.
-
E.
The Smoke
The Smoke is a dramatic work by British playwright Lucy Kirkwood, known for her sharp, socially engaged storytelling.
- 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_69ad8b1fb34081908c1b873e2b7273e1 |
completed | March 8, 2026, 2:43 p.m. |
| NER | Named-entity recognition | batch_69ad9a951e688190b3e35909affd3bfd |
completed | March 8, 2026, 3:49 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b1deac96b48190a65799e35a7b166e |
completed | March 11, 2026, 9:29 p.m. |
Created at: March 8, 2026, 3 p.m.