Triple
T12093144
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Michael Calfan |
E287998
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object |
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.
|
E965642
|
NE FINISHED |
How this triple was built (4 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: [Michael Calfan, notableWork, No Lie]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: No Lie Context triple: [Michael Calfan, notableWork, No Lie]
-
A.
No Lie
"No Lie" is a popular hip-hop single by 2 Chainz featuring Drake, known for its catchy hook and heavy bass production.
-
B.
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.
-
C.
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.
-
D.
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.
-
E.
Telling Lies
Telling Lies is a non-fiction book by psychologist Paul Ekman that explores the psychology, science, and detection of human deception.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: No Lie Triple: [Michael Calfan, notableWork, No Lie]
Generated description
"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.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: No Lie Target entity description: "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.
-
A.
No Lie
"No Lie" is a popular hip-hop single by 2 Chainz featuring Drake, known for its catchy hook and heavy bass production.
-
B.
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.
-
C.
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.
-
D.
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.
-
E.
Telling Lies
Telling Lies is a non-fiction book by psychologist Paul Ekman that explores the psychology, science, and detection of human deception.
- F. None of above. chosen
Provenance (5 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_69d6ab4964708190850585628b287b0c |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d91550ce508190babf5755e1553734 |
completed | April 10, 2026, 3:20 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f5f66edf7881908f29b5b40b9d020f |
completed | May 2, 2026, 1:04 p.m. |
| NEDg | Description generation | batch_69f5fd79da748190b3f0dd7d7a46314d |
completed | May 2, 2026, 1:34 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f5feeaf2e48190995f282b02a9caaf |
completed | May 2, 2026, 1:40 p.m. |
Created at: April 8, 2026, 9:48 p.m.