Triple
T12821800
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sophia Chew Nicklin Dallas |
E306547
|
entity |
| Predicate | hasMiddleName |
P143
|
FINISHED |
| Object |
Chew
Chew is a personal middle name used by Sophia Chew Nicklin Dallas.
|
E1004074
|
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: Chew | Statement: [Sophia Chew Nicklin Dallas, hasMiddleName, Chew]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Chew Context triple: [Sophia Chew Nicklin Dallas, hasMiddleName, Chew]
-
A.
Chew Chew
Chew Chew is a co-mascot character associated with the Chompers brand, likely designed to promote fun and engaging dental health habits for children.
-
B.
The Chew
The Chew is an American daytime television talk show that focused on food, cooking, and lifestyle topics, featuring a panel of celebrity chefs and hosts.
-
C.
Chomps
Chomps is a dog-themed mascot character for the NFL’s Cleveland Browns, typically depicted as a muscular, anthropomorphic brown dog in team gear.
-
D.
Chew Magna
Chew Magna is a historic village and civil parish in Somerset, England, known for its medieval church, traditional architecture, and location near Chew Valley Lake.
-
E.
Chompers
Chompers is one of the official mascots of the Hartford Yard Goats minor league baseball team, known for entertaining fans at games with playful antics and team spirit.
- 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: Chew Triple: [Sophia Chew Nicklin Dallas, hasMiddleName, Chew]
Generated description
Chew is a personal middle name used by Sophia Chew Nicklin Dallas.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Chew Target entity description: Chew is a personal middle name used by Sophia Chew Nicklin Dallas.
-
A.
Chew Chew
Chew Chew is a co-mascot character associated with the Chompers brand, likely designed to promote fun and engaging dental health habits for children.
-
B.
The Chew
The Chew is an American daytime television talk show that focused on food, cooking, and lifestyle topics, featuring a panel of celebrity chefs and hosts.
-
C.
Chomps
Chomps is a dog-themed mascot character for the NFL’s Cleveland Browns, typically depicted as a muscular, anthropomorphic brown dog in team gear.
-
D.
Chew Magna
Chew Magna is a historic village and civil parish in Somerset, England, known for its medieval church, traditional architecture, and location near Chew Valley Lake.
-
E.
Chompers
Chompers is one of the official mascots of the Hartford Yard Goats minor league baseball team, known for entertaining fans at games with playful antics and team spirit.
- 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_69d7bdf46c448190b1faa55aaacb6317 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d96e9fcc8c8190a926ab0481d28f14 |
completed | April 10, 2026, 9:41 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f68ed165188190a4cac781c753fb23 |
completed | May 2, 2026, 11:54 p.m. |
| NEDg | Description generation | batch_69f68f8d2ca08190a385635fb6130a9f |
completed | May 2, 2026, 11:58 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f69033a66481908bf4ae23fced5983 |
completed | May 3, 2026, midnight |
Created at: April 9, 2026, 5:32 p.m.