Triple
T14631154
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Machel Montano |
E343479
|
entity |
| Predicate | notableAlias |
P39
|
FINISHED |
| Object | Monk Monté |
E1110494
|
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: Monk Monté | Statement: [Machel Montano, notableAlias, Monk Monté]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Monk Monté Context triple: [Machel Montano, notableAlias, Monk Monté]
-
A.
Monk Monte
chosen
Monk Monte is an alter ego and stage persona of Trinidadian soca star Machel Montano, associated with his more spiritual and experimental musical projects.
-
B.
Mönch
Mönch is a prominent mountain peak in the Swiss Bernese Alps, forming part of the famous Eiger–Mönch–Jungfrau trio.
-
C.
Mönch
Mönch is a striking sculptural work by German artist Katharina Fritsch, known for its life-sized, monochromatic figure of a monk that evokes themes of spirituality, anonymity, and psychological unease.
-
D.
Moncure
Moncure is a masculine given name most notably borne by the American abolitionist and writer Moncure Daniel Conway.
-
E.
Moncho
Moncho is a common Spanish nickname or diminutive form of the given name Ramón.
- 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_69d822dffc3c8190aa173b90761bffda |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69deb4a912248190a3df7f821395c776 |
completed | April 14, 2026, 9:42 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fdd5d0514081908c2bdc4fb77b1a7a |
completed | May 8, 2026, 12:23 p.m. |
Created at: April 10, 2026, 1:26 a.m.