Triple
T7421432
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Julius |
E171254
|
entity |
| Predicate | hasRelationshipWith |
P2830
|
FINISHED |
| Object | Lil |
unclear NED1
|
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: Lil | Statement: [Julius, hasRelationshipWith, Lil]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lil Context triple: [Julius, hasRelationshipWith, Lil]
-
A.
Lil
Lil is a key character in Cory Doctorow's science fiction novel "Down and Out in the Magic Kingdom," set in a reputation-based future society centered around a Disney World-like theme park.
-
B.
Lil
Lil is the nickname and given name of Lil Hardin Armstrong, a pioneering American jazz pianist, composer, and bandleader.
-
C.
LIL
LIL is the IATA airport code for Lille Airport, the main international airport serving the Lille metropolitan area in northern France.
-
D.
Lil Reese
Lil Reese is an American rapper from Chicago known for his role in the drill music scene and collaborations with artists like Chief Keef and Lil Durk.
-
E.
Lil AK
Lil AK is a rapper and media personality best known as DJ Akademiks’ rap alter ego, appearing on tracks like those from the project "TattleTales."
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide. chosen
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_69c68a625d048190af70eb8b63bec5a0 |
completed | March 27, 2026, 1:47 p.m. |
| NER | Named-entity recognition | batch_69c6f2ebc520819087cfc2eb9dda0e17 |
completed | March 27, 2026, 9:13 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c81ef7fc808190a564ab4d9d97ab37 |
completed | March 28, 2026, 6:33 p.m. |
Created at: March 27, 2026, 3:11 p.m.