Triple
T15451674
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Meagan Good |
E371667
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | Cousin Skeeter |
E331429
|
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: Cousin Skeeter | Statement: [Meagan Good, notableWork, Cousin Skeeter]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Cousin Skeeter Context triple: [Meagan Good, notableWork, Cousin Skeeter]
-
A.
Cousin Skeeter
chosen
Cousin Skeeter is a late-1990s Nickelodeon live-action/puppet sitcom about a wisecracking puppet cousin who moves in with his human family, blending comedy with family and coming-of-age themes.
-
B.
La tía Tula
La tía Tula is a novel by Spanish writer Miguel de Unamuno that explores themes of motherhood, morality, and repression through the life of a domineering, self-sacrificing aunt.
-
C.
Shirley
Shirley is a small town in north-central Massachusetts served by commuter rail on the MBTA Fitchburg Line.
-
D.
Shirley
Shirley is a devout, long-suffering matriarch in Tyler Perry’s "Madea’s Big Happy Family," whose illness and desire to reunite her fractured family drive much of the film’s emotional core.
-
E.
Shirley
Shirley is the given name of Shirley Ann Jackson, a prominent American physicist and trailblazing academic leader.
- 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_69d85cc8bd308190886949510b42e764 |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69e03efaf82c81908b464e37ce9c159a |
completed | April 16, 2026, 1:44 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff21b1e9688190a283dbc552072ce0 |
completed | May 9, 2026, 11:59 a.m. |
Created at: April 10, 2026, 3:30 a.m.