Triple
T16620145
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Josh Mostel |
E403801
|
entity |
| Predicate | spouse |
P13
|
FINISHED |
| Object |
Alix Korey
Alix Korey is an American actress and singer known for her work in musical theatre and on Broadway.
|
E1262500
|
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: Alix Korey | Statement: [Josh Mostel, spouse, Alix Korey]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Alix Korey Context triple: [Josh Mostel, spouse, Alix Korey]
-
A.
Alix Elias
Alix Elias is an actress best known for her supporting roles in British film and television, including a part in the 1986 mockumentary film "True Stories."
-
B.
Alix Klineman
Alix Klineman is an American professional volleyball player and Olympic gold medalist known for her success in both indoor and beach volleyball.
-
C.
Alix Dobkin
Alix Dobkin was an American folk singer-songwriter and pioneering lesbian feminist activist best known for her influential role in the women’s music movement of the 1970s and 1980s.
-
D.
Alexandra Seros
Alexandra Seros is a screenwriter best known for her work on action and thriller films in Hollywood.
-
E.
Elizabeth Kortright
Elizabeth Kortright was an American socialite who became First Lady of the United States as the wife of President James Monroe.
- 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: Alix Korey Triple: [Josh Mostel, spouse, Alix Korey]
Generated description
Alix Korey is an American actress and singer known for her work in musical theatre and on Broadway.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Alix Korey Target entity description: Alix Korey is an American actress and singer known for her work in musical theatre and on Broadway.
-
A.
Alix Elias
Alix Elias is an actress best known for her supporting roles in British film and television, including a part in the 1986 mockumentary film "True Stories."
-
B.
Alix Klineman
Alix Klineman is an American professional volleyball player and Olympic gold medalist known for her success in both indoor and beach volleyball.
-
C.
Alix Dobkin
Alix Dobkin was an American folk singer-songwriter and pioneering lesbian feminist activist best known for her influential role in the women’s music movement of the 1970s and 1980s.
-
D.
Alexandra Seros
Alexandra Seros is a screenwriter best known for her work on action and thriller films in Hollywood.
-
E.
Elizabeth Kortright
Elizabeth Kortright was an American socialite who became First Lady of the United States as the wife of President James Monroe.
- 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_69d883897eb481909eaaa088ba9918d9 |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e3754c934c8190a0a8ddd747681aa7 |
completed | April 18, 2026, 12:13 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a018c32b4a88190a07db59965b38890 |
completed | May 11, 2026, 7:58 a.m. |
| NEDg | Description generation | batch_6a018d3091c08190b49af3a2c8ae846c |
completed | May 11, 2026, 8:02 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a018d8a4d008190bd244c13d192b625 |
completed | May 11, 2026, 8:04 a.m. |
Created at: April 10, 2026, 5:17 a.m.