Triple
T3139124
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ironman |
E65599
|
entity |
| Predicate | containsTrack |
P3284
|
FINISHED |
| Object | Black Jesus |
E104949
|
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: Black Jesus | Statement: [Ironman, containsTrack, Black Jesus]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Black Jesus Context triple: [Ironman, containsTrack, Black Jesus]
-
A.
Black Jesus
chosen
Black Jesus is the nickname of Earl Monroe, a Hall of Fame NBA guard renowned for his flashy, creative scoring and ball-handling style.
-
B.
Moses the Black
Moses the Black was a 4th-century Ethiopian desert monk and former bandit who became a renowned Christian ascetic and saint among the Desert Fathers.
-
C.
The Dying Negro
The Dying Negro is an 18th-century abolitionist poem co-authored by Thomas Day that powerfully condemns the brutality of the transatlantic slave trade.
-
D.
Blacker
Blacker is a comparative form of the color term "black," indicating a greater degree of darkness or blackness.
-
E.
Blackness
Blackness is a small coastal village in West Lothian, Scotland, situated on the south shore of the Firth of Forth.
- 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_69ad8582f564819088c27e1f96153938 |
completed | March 8, 2026, 2:19 p.m. |
| NER | Named-entity recognition | batch_69ada575bbac81909b1b95126f488809 |
completed | March 8, 2026, 4:36 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b224e11c508190b69c16dfb5313fc2 |
completed | March 12, 2026, 2:28 a.m. |
Created at: March 8, 2026, 3:05 p.m.