Triple
T3812580
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Houston Dash |
E93168
|
entity |
| Predicate | notablePlayer |
P304
|
FINISHED |
| Object |
Kealia Ohai
Kealia Ohai is an American professional soccer forward known for her standout NWSL career and leadership with the Houston Dash.
|
E393741
|
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: Kealia Ohai | Statement: [Houston Dash, notablePlayer, Kealia Ohai]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kealia Ohai Context triple: [Houston Dash, notablePlayer, Kealia Ohai]
-
A.
Kori Rae
Kori Rae is a film producer best known for her work at Pixar Animation Studios, including producing the animated feature "Monsters University."
-
B.
Tala Birell
Tala Birell was a Romanian-born film and stage actress active in European cinema and Hollywood during the 1930s and 1940s.
-
C.
Ryan Kiera Armstrong
Ryan Kiera Armstrong is an American child actress known for her roles in films such as "The Tomorrow War" and various television series.
-
D.
Heather Van Norman
Heather Van Norman is a former standout collegiate track and field athlete and coach, best known as the mother of NFL wide receiver Odell Beckham Jr.
-
E.
Lucy Punch
Lucy Punch is an English actress known for her comedic and character roles in film and television, including appearances in projects like "Hot Fuzz," "Bad Teacher," and various British and American TV series.
- 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: Kealia Ohai Triple: [Houston Dash, notablePlayer, Kealia Ohai]
Generated description
Kealia Ohai is an American professional soccer forward known for her standout NWSL career and leadership with the Houston Dash.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Kealia Ohai Target entity description: Kealia Ohai is an American professional soccer forward known for her standout NWSL career and leadership with the Houston Dash.
-
A.
Leilani Sarelle
Leilani Sarelle is an American actress best known for her role as Roxy in the 1992 thriller film "Basic Instinct."
-
B.
Kori Rae
Kori Rae is a film producer best known for her work at Pixar Animation Studios, including producing the animated feature "Monsters University."
-
C.
Tala Birell
Tala Birell was a Romanian-born film and stage actress active in European cinema and Hollywood during the 1930s and 1940s.
-
D.
Erika Kennair
Erika Kennair is a television producer and executive known for her work on science- and genre-focused series such as "The End Is Nye."
-
E.
Ryan Kiera Armstrong
Ryan Kiera Armstrong is an American child actress known for her roles in films such as "The Tomorrow War" and various television series.
- 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_69aed96a60088190ab1df8390fffc935 |
completed | March 9, 2026, 2:30 p.m. |
| NER | Named-entity recognition | batch_69aee8db8a288190afd1e3b9dcf02e97 |
completed | March 9, 2026, 3:35 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b503f3590c8190b18e2e9dfd84cbcd |
completed | March 14, 2026, 6:45 a.m. |
| NEDg | Description generation | batch_69b507cfee048190a41ad30f4ceaf6c8 |
completed | March 14, 2026, 7:01 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69b50857e9ec8190bb03f13c4573b779 |
completed | March 14, 2026, 7:03 a.m. |
Created at: March 9, 2026, 3:16 p.m.