Triple
T14258608
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Middle |
E353450
|
entity |
| Predicate | featuresCharacter |
P626
|
FINISHED |
| Object | Sue Heck |
E1106576
|
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: Sue Heck | Statement: [The Middle, featuresCharacter, Sue Heck]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sue Heck Context triple: [The Middle, featuresCharacter, Sue Heck]
-
A.
Sue Heck
chosen
Sue Heck is an optimistic, socially awkward teenage daughter in the American sitcom "The Middle," known for her relentless enthusiasm despite constant setbacks.
-
B.
Connie Snyder
Connie Snyder is an American philanthropist and co-founder of the Ballmer Group, known for her work supporting children’s welfare, education, and social services.
-
C.
Ann Kirkpatrick
Ann Kirkpatrick is an American politician and attorney best known for serving multiple terms as a U.S. Representative from Arizona.
-
D.
Christine Weiss
Christine Weiss is known as the wife of French politician Gérard Larcher, longtime President of the French Senate.
-
E.
Coleen Rowley
Coleen Rowley is a former FBI special agent and whistleblower known for exposing intelligence failures prior to the September 11 attacks.
- 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_69d8278c43e08190824146f4632b89a5 |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de6352611c819090d062fe3079cd03 |
completed | April 14, 2026, 3:54 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd949df6688190ac92f7e0945bce02 |
completed | May 8, 2026, 7:45 a.m. |
Created at: April 10, 2026, 1:09 a.m.