Triple
T22395826
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Stuck in the Middle |
E553626
|
entity |
| Predicate | starring |
P1507
|
FINISHED |
| Object |
Ronni Hawk
Ronni Hawk is an American actress best known for her role as Rachel Diaz on the Disney Channel family comedy series "Stuck in the Middle."
|
E1533476
|
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: Ronni Hawk | Statement: [Stuck in the Middle, starring, Ronni Hawk]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ronni Hawk Context triple: [Stuck in the Middle, starring, Ronni Hawk]
-
A.
Lindy Reynolds
Lindy Reynolds is the wife of the Marvel Comics character Sentry, playing a key role in his personal life and emotional storyline.
-
B.
Clarinda Buck
Clarinda Buck was the woman after whom the city of Clarinda, Iowa, was named, likely an early local resident or figure of regional significance.
-
C.
Faithe Herman
Faithe Herman is an American child actress best known for her role as Darla Dudley in the DC superhero film "Shazam!" and for her work on the television series "This Is Us."
-
D.
Lolo Owen
Lolo Owen is a New Zealand–American actress and the sister of fellow actress Stefania LaVie Owen.
-
E.
Teela Brown
Teela Brown is a genetically lucky human from Larry Niven’s *Ringworld* series, whose engineered good fortune profoundly shapes the events of the story.
- 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: Ronni Hawk Triple: [Stuck in the Middle, starring, Ronni Hawk]
Generated description
Ronni Hawk is an American actress best known for her role as Rachel Diaz on the Disney Channel family comedy series "Stuck in the Middle."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Ronni Hawk Target entity description: Ronni Hawk is an American actress best known for her role as Rachel Diaz on the Disney Channel family comedy series "Stuck in the Middle."
-
A.
Lindy Reynolds
Lindy Reynolds is the wife of the Marvel Comics character Sentry, playing a key role in his personal life and emotional storyline.
-
B.
Clarinda Buck
Clarinda Buck was the woman after whom the city of Clarinda, Iowa, was named, likely an early local resident or figure of regional significance.
-
C.
Faithe Herman
Faithe Herman is an American child actress best known for her role as Darla Dudley in the DC superhero film "Shazam!" and for her work on the television series "This Is Us."
-
D.
Lolo Owen
Lolo Owen is a New Zealand–American actress and the sister of fellow actress Stefania LaVie Owen.
-
E.
Teela Brown
Teela Brown is a genetically lucky human from Larry Niven’s *Ringworld* series, whose engineered good fortune profoundly shapes the events of the story.
- 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_69e11e4da7048190b4387d422a9a0de5 |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f1585e84b081908c95ed3e0d987ed8 |
completed | April 29, 2026, 1:01 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0ae9c6ad5481909d8138fd1d05bcca |
completed | May 18, 2026, 10:28 a.m. |
| NEDg | Description generation | batch_6a0aea3e17208190a0f4977d4117e7fc |
completed | May 18, 2026, 10:30 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0aeaa0110c8190b796ea8d52471ca1 |
completed | May 18, 2026, 10:32 a.m. |
Created at: April 16, 2026, 8:45 p.m.