Triple
T22497065
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sydel Curry |
E556168
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object |
Sydel
Sydel is a former American collegiate volleyball player and social media personality best known as the sister of NBA stars Stephen and Seth Curry.
|
E1540208
|
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: Sydel | Statement: [Sydel Curry, givenName, Sydel]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sydel Context triple: [Sydel Curry, givenName, Sydel]
-
A.
Ariel Sullivan
Ariel Sullivan is the central protagonist of the film "In America," a young girl navigating family struggles and cultural adjustment after immigrating to the United States.
-
B.
Beth Sully
Beth Sully is known as the wife of American screenwriter and film producer Frank Butler.
-
C.
Suellen
Suellen is a feminine given name, best known from the character Suellen O'Hara in Margaret Mitchell's novel "Gone with the Wind."
-
D.
Lyla
Lyla is a feminine given name commonly used in English-speaking countries, often associated with variations like Lila or Lilah.
-
E.
Lyla
"Lyla" is a song by the English rock band Oasis, featured on their 2005 album "Don't Believe the Truth."
- 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: Sydel Triple: [Sydel Curry, givenName, Sydel]
Generated description
Sydel is a former American collegiate volleyball player and social media personality best known as the sister of NBA stars Stephen and Seth Curry.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Sydel Target entity description: Sydel is a former American collegiate volleyball player and social media personality best known as the sister of NBA stars Stephen and Seth Curry.
-
A.
Ariel Sullivan
Ariel Sullivan is the central protagonist of the film "In America," a young girl navigating family struggles and cultural adjustment after immigrating to the United States.
-
B.
Beth Sully
Beth Sully is known as the wife of American screenwriter and film producer Frank Butler.
-
C.
Suellen
Suellen is a feminine given name, best known from the character Suellen O'Hara in Margaret Mitchell's novel "Gone with the Wind."
-
D.
Lyla
Lyla is a feminine given name commonly used in English-speaking countries, often associated with variations like Lila or Lilah.
-
E.
Lyla
"Lyla" is a song by the English rock band Oasis, featured on their 2005 album "Don't Believe the Truth."
- 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_69e11e5445bc8190b6a9481926db3355 |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f15cb31b8081909553fa860a07e746 |
completed | April 29, 2026, 1:19 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0b17e204e4819091f8453ce912ce5b |
completed | May 18, 2026, 1:45 p.m. |
| NEDg | Description generation | batch_6a0b188c406c81909f8d4bdd6d7a1819 |
completed | May 18, 2026, 1:47 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0b193a558c81909c8c8c8bd82f7bda |
completed | May 18, 2026, 1:50 p.m. |
Created at: April 16, 2026, 8:50 p.m.