Triple
T12139444
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Selina |
E289144
|
entity |
| Predicate | hasNotableBearer |
P458
|
FINISHED |
| Object |
Selina Jen
Selina Jen is a Taiwanese singer, actress, and television host best known as a member of the Mandopop girl group S.H.E.
|
E968247
|
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: Selina Jen | Statement: [Selina, hasNotableBearer, Selina Jen]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Selina Jen Context triple: [Selina, hasNotableBearer, Selina Jen]
-
A.
Selina Lo
Selina Lo is an actress and martial artist known for her roles in action and fantasy films.
-
B.
Estella Kwan
Estella Kwan is the mother of American figure skating champion Michelle Wingshan Kwan.
-
C.
Maggie Wong
Maggie Wong is a character from the comedy film "Balls of Fury," known as a skilled and determined ping-pong player who aids the protagonist in his quest.
-
D.
Melissa Chiu
Melissa Chiu is an Australian-born art historian and curator known for her leadership roles in major contemporary art institutions, including directing the Hirshhorn Museum and Sculpture Garden in Washington, D.C.
-
E.
Cindy Cheung
Cindy Cheung is an American actress known for her work in independent films and television, often appearing in character-driven dramas and comedies.
- 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: Selina Jen Triple: [Selina, hasNotableBearer, Selina Jen]
Generated description
Selina Jen is a Taiwanese singer, actress, and television host best known as a member of the Mandopop girl group S.H.E.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Selina Jen Target entity description: Selina Jen is a Taiwanese singer, actress, and television host best known as a member of the Mandopop girl group S.H.E.
-
A.
Selina Lo
Selina Lo is an actress and martial artist known for her roles in action and fantasy films.
-
B.
Estella Kwan
Estella Kwan is the mother of American figure skating champion Michelle Wingshan Kwan.
-
C.
Maggie Wong
Maggie Wong is a character from the comedy film "Balls of Fury," known as a skilled and determined ping-pong player who aids the protagonist in his quest.
-
D.
Melissa Chiu
Melissa Chiu is an Australian-born art historian and curator known for her leadership roles in major contemporary art institutions, including directing the Hirshhorn Museum and Sculpture Garden in Washington, D.C.
-
E.
Cindy Cheung
Cindy Cheung is an American actress known for her work in independent films and television, often appearing in character-driven dramas and comedies.
- 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_69d6ab4b5e4c81909950b17151eb0951 |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d9158eef48819083bdce283a363414 |
completed | April 10, 2026, 3:21 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f5f690ae408190966bb4fe8feaa7d2 |
completed | May 2, 2026, 1:05 p.m. |
| NEDg | Description generation | batch_69f6022ecf38819080f0eb6a3a815c5b |
completed | May 2, 2026, 1:54 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f606560934819092ba4d4fa162b799 |
completed | May 2, 2026, 2:12 p.m. |
Created at: April 8, 2026, 9:49 p.m.