Triple
T7499501
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Coach Carter |
E177221
|
entity |
| Predicate | starring |
P1507
|
FINISHED |
| Object | Ashanti |
E543688
|
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: Ashanti | Statement: [Coach Carter, starring, Ashanti]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ashanti Context triple: [Coach Carter, starring, Ashanti]
-
A.
Ashanti
chosen
Ashanti is an American R&B singer and songwriter who rose to fame in the early 2000s with hits like "Foolish" and her self-titled debut album.
-
B.
Ashanti
Ashanti is a major ethnic group and former powerful kingdom in what is now Ghana, known for its rich culture, military strength, and influential role in West African history.
-
C.
Keyshia Cole
Keyshia Cole is an American R&B singer, songwriter, and television personality known for her soulful vocals and hit albums in the 2000s.
-
D.
Toni Braxton
Toni Braxton is an American R&B singer and songwriter known for her rich contralto voice and hits like "Un-Break My Heart," making her one of the best-selling female artists of the 1990s.
-
E.
Christina Milian
Christina Milian is an American singer, songwriter, and actress known for early-2000s R&B-pop hits like "Dip It Low" and roles in films such as "Love Don't Cost a Thing."
- 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_69c69f2696688190915a8458f2398211 |
completed | March 27, 2026, 3:15 p.m. |
| NER | Named-entity recognition | batch_69c6f598dfac8190a123daaac0784aee |
completed | March 27, 2026, 9:24 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c83c900ad081908506a2097f7fd30b |
completed | March 28, 2026, 8:39 p.m. |
Created at: March 27, 2026, 3:44 p.m.