Triple
T19994528
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pieces of a Man |
E494156
|
entity |
| Predicate | producer |
P490
|
FINISHED |
| Object | Lord Jamar |
—
|
NE NERFINISHED |
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: Lord Jamar | Statement: [Pieces of a Man, producer, Lord Jamar]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lord Jamar Context triple: [Pieces of a Man, producer, Lord Jamar]
-
A.
Lord Jamar
chosen
Lord Jamar is an American rapper, producer, and actor best known as a member of the hip hop group Brand Nubian.
-
B.
Lord Sanquhar
Lord Sanquhar was a Scottish noble title held by a branch of the Crichton family, associated with the peerage of Scotland in the late medieval and early modern periods.
-
C.
Jarlaxle Baenre
Jarlaxle Baenre is a cunning and flamboyant drow mercenary leader and master manipulator from the Forgotten Realms setting of Dungeons & Dragons.
-
D.
Ed Daein
Ed Daein is a major city in western Sudan that serves as an important regional center for trade and administration.
-
E.
Khal Jhaqo
Khal Jhaqo is a ruthless Dothraki warlord from the world of *A Song of Ice and Fire*/*Game of Thrones*, known for betraying Khal Drogo’s khalasar and leading his own brutal band of riders.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69da626b2d748190886981ea90c8b2ea |
completed | April 11, 2026, 3:02 p.m. |
| NER | Named-entity recognition | batch_69e65fe306548190a6924ce3798a4d3d |
completed | April 20, 2026, 5:18 p.m. |
Created at: April 11, 2026, 3:31 p.m.