Triple
T1407449
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Halston Sage |
E31725
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object |
Halston
Halston is the given name of American actress Halston Sage, known for her roles in film and television.
|
E31725
|
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: Halston | Statement: [Halston Sage, givenName, Halston]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Halston Context triple: [Halston Sage, givenName, Halston]
-
A.
Ralph Lauren
Ralph Lauren is an American fashion designer and business executive best known for founding the Ralph Lauren Corporation and its iconic Polo Ralph Lauren brand.
-
B.
Halston Sage
Halston Sage is an American actress best known for her role as Lieutenant Alara Kitan on the science fiction television series "The Orville."
-
C.
Carolina Herrera
Carolina Herrera is a Venezuelan-American fashion designer renowned for her elegant, sophisticated clothing and fragrance lines favored by celebrities and socialites.
-
D.
Nicole Miller
Nicole Miller is an American fashion designer renowned for her modern, feminine womenswear and bold use of color and print.
-
E.
Balmain
Balmain is a historic inner-west suburb of Sydney, Australia, known for its waterfront location on Sydney Harbour, preserved Victorian architecture, and vibrant pub and café culture.
- 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: Halston Triple: [Halston Sage, givenName, Halston]
Generated description
Halston is the given name of American actress Halston Sage, known for her roles in film and television.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Halston Target entity description: Halston is the given name of American actress Halston Sage, known for her roles in film and television.
-
A.
Ralph Lauren
Ralph Lauren is an American fashion designer and business executive best known for founding the Ralph Lauren Corporation and its iconic Polo Ralph Lauren brand.
-
B.
Halston Sage
chosen
Halston Sage is an American actress best known for her role as Lieutenant Alara Kitan on the science fiction television series "The Orville."
-
C.
Carolina Herrera
Carolina Herrera is a Venezuelan-American fashion designer renowned for her elegant, sophisticated clothing and fragrance lines favored by celebrities and socialites.
-
D.
Nicole Miller
Nicole Miller is an American fashion designer renowned for her modern, feminine womenswear and bold use of color and print.
-
E.
Balmain
Balmain is a historic inner-west suburb of Sydney, Australia, known for its waterfront location on Sydney Harbour, preserved Victorian architecture, and vibrant pub and café culture.
- F. None of above.
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_69a49918e1f88190ba610f9dc8114578 |
completed | March 1, 2026, 7:52 p.m. |
| NER | Named-entity recognition | batch_69a4c3bf7f0c8190aee96818de6ff4a5 |
completed | March 1, 2026, 10:54 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ad015839908190b7f9f6c79dcc0367 |
completed | March 8, 2026, 4:55 a.m. |
| NEDg | Description generation | batch_69ad029ff1848190a4c25325a68bd8b9 |
completed | March 8, 2026, 5:01 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ad030a31688190a5d5ef4a7f975e2e |
completed | March 8, 2026, 5:03 a.m. |
Created at: March 1, 2026, 7:59 p.m.