Triple
T17573334
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Odette Yustman |
E427994
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Yustman
Yustman is the surname of Odette Yustman, an American actress known for roles in films like "Cloverfield" and various television series.
|
E1277362
|
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: Yustman | Statement: [Odette Yustman, familyName, Yustman]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Yustman Context triple: [Odette Yustman, familyName, Yustman]
-
A.
Yost
Yost is a surname most notably associated with Fielding H. Yost, the pioneering early 20th-century American college football coach.
-
B.
Reitherman
Reitherman is the surname of Wolfgang Reitherman, a prominent Disney animator and director known for his work on many classic animated films.
-
C.
Munson
Munson is an art museum in Utica, New York, known for its diverse collection of American and European works and its role as a regional cultural center.
-
D.
Furthman
Furthman is a surname most notably associated with American screenwriter Jules Furthman, known for his work on classic Hollywood films.
-
E.
Effner
Effner is a German surname most notably associated with Joseph Effner, an 18th-century architect of the Bavarian court.
- 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: Yustman Triple: [Odette Yustman, familyName, Yustman]
Generated description
Yustman is the surname of Odette Yustman, an American actress known for roles in films like "Cloverfield" and various television series.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Yustman Target entity description: Yustman is the surname of Odette Yustman, an American actress known for roles in films like "Cloverfield" and various television series.
-
A.
Yost
Yost is a surname most notably associated with Fielding H. Yost, the pioneering early 20th-century American college football coach.
-
B.
Reitherman
Reitherman is the surname of Wolfgang Reitherman, a prominent Disney animator and director known for his work on many classic animated films.
-
C.
Munson
Munson is an art museum in Utica, New York, known for its diverse collection of American and European works and its role as a regional cultural center.
-
D.
Furthman
Furthman is a surname most notably associated with American screenwriter Jules Furthman, known for his work on classic Hollywood films.
-
E.
Effner
Effner is a German surname most notably associated with Joseph Effner, an 18th-century architect of the Bavarian court.
- 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_69d889e0385081908a04b66f4dd4bd0d |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e459330c788190907a02fc98e0e24b |
completed | April 19, 2026, 4:25 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a01dde81264819097f7cb7448842eac |
completed | May 11, 2026, 1:47 p.m. |
| NEDg | Description generation | batch_6a01e246a9c48190b5b728ffb385de31 |
completed | May 11, 2026, 2:05 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a01e2d0b7748190b9a179001e7dab94 |
completed | May 11, 2026, 2:08 p.m. |
Created at: April 10, 2026, 5:50 a.m.