Triple
T9727203
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jack McBrayer |
E235643
|
entity |
| Predicate | workedOn |
P3
|
FINISHED |
| Object | The Middle |
E353450
|
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: The Middle | Statement: [Jack McBrayer, workedOn, The Middle]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: The Middle Context triple: [Jack McBrayer, workedOn, The Middle]
-
A.
The Middle
chosen
The Middle is an American sitcom that follows the everyday struggles and humor of a middle-class family living in the fictional town of Orson, Indiana.
-
B.
The Middle
"The Middle" is a 2018 pop and electronic dance track by Zedd, Maren Morris, and Grey that became a major crossover hit and radio staple.
-
C.
The Middle Ground
"The Middle Ground" is a short story by William Faulkner that explores themes of memory, identity, and the passage of time in the American South.
-
D.
Middle World
Middle World is the central earthly realm in Tengrism, where humans live between the upper spiritual heavens and the lower underworld.
-
E.
City of Two Rivers
The City of Two Rivers is a small lakeside community in eastern Wisconsin known for its maritime heritage and location on the shores of Lake Michigan.
- 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_69ca84d0fad481909cdd45aa77416c48 |
completed | March 30, 2026, 2:12 p.m. |
| NER | Named-entity recognition | batch_69cd9e7af544819090a8a1adec41943c |
completed | April 1, 2026, 10:38 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d1afb089e48190a14ed0c0f81872c7 |
completed | April 5, 2026, 12:41 a.m. |
Created at: March 30, 2026, 8:21 p.m.