Triple
T6291462
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | I Am Not a Human Being |
E141027
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object | Hold Up |
E245925
|
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: Hold Up | Statement: [I Am Not a Human Being, hasPart, Hold Up]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hold Up Context triple: [I Am Not a Human Being, hasPart, Hold Up]
-
A.
Hold Up
chosen
"Hold Up" is a genre-blending, reggae-infused song by Beyoncé from her critically acclaimed 2016 visual album *Lemonade*.
-
B.
Hands Up
"Hands Up" is a politically charged hip-hop track by Vince Staples that critiques police brutality and systemic racism.
-
C.
Get Up
"Get Up" is a track by the American heavy metal band Scream, featured on one of their releases.
-
D.
Get on Up
Get on Up is a 2014 biographical drama film about the life and career of soul music legend James Brown.
-
E.
Hustle
Hustle is a British television drama series about a group of highly skilled con artists who pull off elaborate scams against corrupt and greedy targets.
- 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_69c008cdf2ac8190bb640c94478fb4ed |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c0641ea224819097b6962e6014c690 |
completed | March 22, 2026, 9:50 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c51983afd081908d2cfeaeccb40bcb |
completed | March 26, 2026, 11:33 a.m. |
Created at: March 22, 2026, 4:27 p.m.