Triple
T14350031
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cherchez LaGhost |
E355828
|
entity |
| Predicate | hasChorusVocal |
P30369
|
FINISHED |
| Object | Madam Majestic |
E1095151
|
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: Madam Majestic | Statement: [Cherchez LaGhost, hasChorusVocal, Madam Majestic]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Madam Majestic Context triple: [Cherchez LaGhost, hasChorusVocal, Madam Majestic]
-
A.
Madam Majestic
chosen
Madam Majestic is a hip-hop vocalist best known for her guest appearances on Wu-Tang Clan–related tracks, including Ghostface Killah’s work.
-
B.
Madama
Madama is a Palestinian village located in the Nablus Governorate in the northern West Bank.
-
C.
Brilliant Lady
Brilliant Lady is a modern cruise ship operated by Virgin Voyages, designed to offer an adults-only, boutique-style sailing experience.
-
D.
Madam
"Madam" is a formal term of address for a woman, often used to show respect or politeness in social, professional, or official contexts.
-
E.
Golden Lady
"Golden Lady" is a soulful, jazz-inflected love song by Stevie Wonder from his acclaimed 1973 album *Innervisions*.
- 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_69d82790a7e08190877e2d349b2e8d8e |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de8f4e1e588190bdc7aaf7a2819948 |
completed | April 14, 2026, 7:02 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd550aef908190a7ec49e409f92dc7 |
completed | May 8, 2026, 3:14 a.m. |
Created at: April 10, 2026, 1:14 a.m.