Triple
T13479075
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Carmelo |
E318321
|
entity |
| Predicate | shortFormOrDiminutive |
P456
|
FINISHED |
| Object | Melo |
E81018
|
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: Melo | Statement: [Carmelo, shortFormOrDiminutive, Melo]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Melo Context triple: [Carmelo, shortFormOrDiminutive, Melo]
-
A.
Carmelo
chosen
Carmelo is a masculine given name most prominently associated with former NBA star Carmelo Anthony.
-
B.
Darius Rose
Darius Rose is an actor best known for appearing in the comedy film "Nacho Libre."
-
C.
Randle Mell
Randle Mell is an American actor known for his work in film, television, and theater, and for his long-term marriage to actress Mary McDonnell.
-
D.
Randle
Randle is a surname most prominently associated with American professional basketball player Julius Randle of the NBA.
-
E.
Maye
Maye is the first name of Maye Musk, a Canadian-South African model and dietitian known for her long-running fashion career and as the mother of entrepreneur Elon Musk.
- 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_69d806b6bfec819089222715b2e86c8e |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69dbaf266c508190930d30776c09ce35 |
completed | April 12, 2026, 2:41 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f7463340fc8190b1128bd1d26f91ab |
completed | May 3, 2026, 12:57 p.m. |
Created at: April 9, 2026, 9:42 p.m.