Triple
T8851623
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Niecy Jackson |
E210650
|
entity |
| Predicate | supportsProtagonist |
P49758
|
FINISHED |
| Object | Moesha Mitchell |
E763554
|
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: Moesha Mitchell | Statement: [Niecy Jackson, supportsProtagonist, Moesha Mitchell]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Moesha Mitchell Context triple: [Niecy Jackson, supportsProtagonist, Moesha Mitchell]
-
A.
Moesha Mitchell
chosen
Moesha Mitchell is the outspoken, intelligent teenage protagonist of the 1990s sitcom "Moesha," navigating family, friendships, and growing up in South Central Los Angeles.
-
B.
Keshia Knight Pulliam
Keshia Knight Pulliam is an American actress best known for her childhood role as Rudy Huxtable on the hit sitcom "The Cosby Show."
-
C.
Yvette Mitchell
Yvette Mitchell was an early 20th-century actress known for appearing in silent films such as the 1917 production "The Kingdom of Love."
-
D.
Marlena Evans
Marlena Evans is a long-running, iconic fictional psychiatrist and central heroine on the American soap opera "Days of Our Lives."
-
E.
Monica Raymund
Monica Raymund is an American actress best known for her television roles on series such as "Lie to Me" and "Chicago Fire."
- 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_69ca838a424c8190b1ecac115c2927e7 |
completed | March 30, 2026, 2:07 p.m. |
| NER | Named-entity recognition | batch_69cc60c3c5548190926e374bbe592180 |
completed | April 1, 2026, 12:03 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cfc1c1488c8190ac7b6a13d3af8be6 |
completed | April 3, 2026, 1:33 p.m. |
Created at: March 30, 2026, 6:49 p.m.