Triple
T15390716
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Superstore |
E368035
|
entity |
| Predicate | executiveProducer |
P7225
|
FINISHED |
| Object |
Gabe Miller
Gabe Miller is a television writer and producer best known for his work on the NBC sitcom "Superstore."
|
E1154861
|
NE FINISHED |
How this triple was built (4 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: Gabe Miller | Statement: [Superstore, executiveProducer, Gabe Miller]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Gabe Miller Context triple: [Superstore, executiveProducer, Gabe Miller]
-
A.
Gabe Lewis
Gabe Lewis is a character from the U.S. version of "The Office," known as a socially awkward Sabre corporate liaison who dates Erin Hannon.
-
B.
Gabe Meyer
Gabe Meyer is the son of Stephenie Meyer, the bestselling author of the Twilight series.
-
C.
Gabe Dixon
Gabe Dixon is an American singer-songwriter and pianist best known as the frontman of the Gabe Dixon Band and for his soulful, piano-driven rock and pop music.
-
D.
Gabe Walker
Gabe Walker is the skilled mountain climber and rescue ranger portrayed by Sylvester Stallone in the action thriller film "Cliffhanger."
-
E.
Gabe Rhodes
Gabe Rhodes is a film editor known for his work on documentaries, including the feature "Kill the Messenger."
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Gabe Miller Triple: [Superstore, executiveProducer, Gabe Miller]
Generated description
Gabe Miller is a television writer and producer best known for his work on the NBC sitcom "Superstore."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Gabe Miller Target entity description: Gabe Miller is a television writer and producer best known for his work on the NBC sitcom "Superstore."
-
A.
Gabe Lewis
Gabe Lewis is a character from the U.S. version of "The Office," known as a socially awkward Sabre corporate liaison who dates Erin Hannon.
-
B.
Gabe Meyer
Gabe Meyer is the son of Stephenie Meyer, the bestselling author of the Twilight series.
-
C.
Gabe Dixon
Gabe Dixon is an American singer-songwriter and pianist best known as the frontman of the Gabe Dixon Band and for his soulful, piano-driven rock and pop music.
-
D.
Gabe Walker
Gabe Walker is the skilled mountain climber and rescue ranger portrayed by Sylvester Stallone in the action thriller film "Cliffhanger."
-
E.
Gabe Rhodes
Gabe Rhodes is a film editor known for his work on documentaries, including the feature "Kill the Messenger."
- F. None of above. chosen
Provenance (5 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_69d85a1551a08190ba2caea7cd51c639 |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e03e7727a081908eff45bbc1633c8a |
completed | April 16, 2026, 1:42 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff134e37d881909f373b90a99fc067 |
completed | May 9, 2026, 10:58 a.m. |
| NEDg | Description generation | batch_69ff141b025c8190ac5ac9400ff36133 |
completed | May 9, 2026, 11:01 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ff1519100c819083ee0342bf25d89e |
completed | May 9, 2026, 11:06 a.m. |
Created at: April 10, 2026, 3:19 a.m.