Triple
T13793503
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lasers |
E331456
|
entity |
| Predicate | producer |
P490
|
FINISHED |
| Object | Needlz |
E497269
|
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: Needlz | Statement: [Lasers, producer, Needlz]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Needlz Context triple: [Lasers, producer, Needlz]
-
A.
Needlz
chosen
Needlz is an American hip-hop record producer known for crafting beats for prominent artists across the rap and R&B genres.
-
B.
Need It
"Need It" is a hip-hop single by Migos featuring YoungBoy Never Broke Again, known for its aggressive trap production and catchy, boastful lyrics.
-
C.
Needed Me
"Needed Me" is a 2016 trap-soul and R&B song by Rihanna, known for its dark, minimalist production and themes of empowerment and emotional detachment.
-
D.
The Need To Be
"The Need To Be" is a track from the hip-hop album *Airtight's Revenge* by rapper and producer Bilal, reflecting the record's introspective and experimental soul style.
-
E.
Needles
Needles is a small desert city in eastern San Bernardino County, California, located along the Colorado River near the Arizona border and historically known as a stop on Route 66.
- 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_69d81c58feb08190a77bca8bf7d6d20f |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de0259b0e4819081c11ced694384fb |
completed | April 14, 2026, 9:01 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f7b8d893448190b37ecbf8d2ded239 |
completed | May 3, 2026, 9:06 p.m. |
Created at: April 9, 2026, 10:11 p.m.