Triple
T2490653
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lily |
E52031
|
entity |
| Predicate | hasDiminutive |
P456
|
FINISHED |
| Object | Lil |
E171255
|
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: [Lily, hasDiminutive, Lil]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lil Context triple: [Lily, hasDiminutive, Lil]
-
A.
Lil
chosen
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 Baby
Lil Baby is an American rapper and songwriter known for his melodic flow, street-oriented lyrics, and prominence in contemporary trap music.
-
C.
Lil Yachty
Lil Yachty is an American rapper, singer, and songwriter known for his melodic, playful style and breakout hits like “One Night” and “Minnesota.”
-
D.
Lil' Cease
Lil' Cease is an American rapper from Brooklyn best known for his close association with The Notorious B.I.G. and his work as a member of the hip hop group Junior M.A.F.I.A.
-
E.
Lil Durk
Lil Durk is an American rapper and singer from Chicago known for his melodic drill style and as a leading figure in the modern hip-hop scene.
- 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_69ab4955111c8190835bf619adec21ff |
completed | March 6, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69abd18fe32081909580c6272a6013c5 |
completed | March 7, 2026, 7:19 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69af1f9111ec8190b464da14bc4be11e |
completed | March 9, 2026, 7:29 p.m. |
Created at: March 6, 2026, 9:45 p.m.