Triple
T10049466
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Shar Jackson |
E207708
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Shar Jackson |
E207708
|
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: Shar Jackson | Statement: [Shar Jackson, name, Shar Jackson]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Shar Jackson Context triple: [Shar Jackson, name, Shar Jackson]
-
A.
Shar Jackson
chosen
Shar Jackson is an American actress and singer best known for her role as Niecy Jackson on the 1990s sitcom "Moesha."
-
B.
Athene Seyler
Athene Seyler was a distinguished English character actress known for her long stage and film career, often portraying eccentric or comedic older women.
-
C.
Elissa Knight
Elissa Knight is an American voice actress best known for voicing the character EVE in Pixar's animated film "WALL-E."
-
D.
Shara Nelson
Shara Nelson is a British singer and songwriter best known for her soulful vocals on early Massive Attack tracks, including the hit "Unfinished Sympathy."
-
E.
Anna Beth Sully
Anna Beth Sully was the first wife of silent film star Douglas Fairbanks, whom she married before his rise to Hollywood fame.
- 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_69ca835ad0608190b7c80b292da004f5 |
completed | March 30, 2026, 2:06 p.m. |
| NER | Named-entity recognition | batch_69cdcf8e41c4819091fa12742197e207 |
completed | April 2, 2026, 2:08 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d2829674f08190b5f9c3b984106469 |
completed | April 5, 2026, 3:41 p.m. |
Created at: March 30, 2026, 8:56 p.m.