Triple
T20104211
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | T-Minus |
E180775
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | No Lie |
—
|
NE NERFINISHED |
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: No Lie | Statement: [T-Minus, notableWork, No Lie]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: No Lie Context triple: [T-Minus, notableWork, No Lie]
-
A.
No Lie
"No Lie" is a 2016 dancehall-pop single by Jamaican artist Sean Paul featuring Dua Lipa, known for its catchy hook and international chart success.
-
B.
No Lie
"No Lie" is a popular electronic dance music track by French DJ and producer Michael Calfan, known for its uplifting house style and melodic hooks.
-
C.
No Lie
chosen
"No Lie" is a popular hip-hop single by 2 Chainz featuring Drake, known for its catchy hook and heavy bass production.
-
D.
It’s Not a Lie
"It’s Not a Lie" is a song by King Don Come, likely reflecting his characteristic style and themes within his musical catalog.
-
E.
Telling Lies
Telling Lies is an interactive narrative video game that uses full-motion video and a non-linear search-based interface to unravel a complex story through secretly recorded conversations.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69da62636cc08190982cc71733a17b8d |
completed | April 11, 2026, 3:01 p.m. |
| NER | Named-entity recognition | batch_69e666daf73c819089f02ca6faa2c283 |
completed | April 20, 2026, 5:48 p.m. |
Created at: April 11, 2026, 11:27 p.m.