Triple
T21159133
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Family Reunion |
E521388
|
entity |
| Predicate | creator |
P184
|
FINISHED |
| Object | Meg DeLoatch |
—
|
NE NERFINISHED |
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: Meg DeLoatch | Statement: [Family Reunion, creator, Meg DeLoatch]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Meg DeLoatch Context triple: [Family Reunion, creator, Meg DeLoatch]
-
A.
Meg DeLoatch
chosen
Meg DeLoatch is an American television writer and producer best known for creating and executive producing family-focused sitcoms such as "Family Reunion."
-
B.
Heather DeLoach
Heather DeLoach is an American actress best known for playing the iconic "bee girl" in Blind Melon's "No Rain" music video.
-
C.
Meg Haston
Meg Haston is an American author best known for her middle-grade and young adult novels, including the book that inspired the Nickelodeon television series "How to Rock."
-
D.
Dana DeMuth
Dana DeMuth is a longtime Major League Baseball umpire who has officiated numerous postseason games, including multiple World Series.
-
E.
Meg Abbott
Meg Abbott is a character portrayed by Liv Tyler, best known as the rebellious daughter in the 1995 coming-of-age comedy film "Empire Records."
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e0b50d1ea481909c07e63c3ead9316 |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e7252e9ef481908f4904c535f3da8b |
completed | April 21, 2026, 7:20 a.m. |
Created at: April 16, 2026, 2:59 p.m.