Triple
T13611121
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chita Rivera |
E325187
|
entity |
| Predicate | child |
P120
|
FINISHED |
| Object |
Lisa Mordente
Lisa Mordente is an American actress, singer, dancer, and choreographer known for her work on Broadway and in film and television.
|
E1113087
|
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: Lisa Mordente | Statement: [Chita Rivera, child, Lisa Mordente]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lisa Mordente Context triple: [Chita Rivera, child, Lisa Mordente]
-
A.
Lisa Vultaggio
Lisa Vultaggio is a Canadian actress best known for her role as Hannah Scott on the soap opera "General Hospital."
-
B.
Lisa Molinaro
Lisa Molinaro is an American multi-instrumentalist and vocalist best known for her work with indie rock bands including Modest Mouse and Talkdemonic.
-
C.
Laura Malinger
Laura Malinger is the mother of American former child actor Ross Malinger, known for his role in the film "Sleepless in Seattle."
-
D.
Lisa Eilbacher
Lisa Eilbacher is an American actress best known for her roles in 1980s films and television series, including prominent appearances in action and drama movies.
-
E.
Lisa Gottsegen
Lisa Gottsegen is an American businesswoman and philanthropist best known as the longtime wife of actor Dustin Hoffman.
- 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: Lisa Mordente Triple: [Chita Rivera, child, Lisa Mordente]
Generated description
Lisa Mordente is an American actress, singer, dancer, and choreographer known for her work on Broadway and in film and television.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Lisa Mordente Target entity description: Lisa Mordente is an American actress, singer, dancer, and choreographer known for her work on Broadway and in film and television.
-
A.
Lisa Vultaggio
Lisa Vultaggio is a Canadian actress best known for her role as Hannah Scott on the soap opera "General Hospital."
-
B.
Lisa Molinaro
Lisa Molinaro is an American multi-instrumentalist and vocalist best known for her work with indie rock bands including Modest Mouse and Talkdemonic.
-
C.
Laura Malinger
Laura Malinger is the mother of American former child actor Ross Malinger, known for his role in the film "Sleepless in Seattle."
-
D.
Lisa Eilbacher
Lisa Eilbacher is an American actress best known for her roles in 1980s films and television series, including prominent appearances in action and drama movies.
-
E.
Lisa Gottsegen
Lisa Gottsegen is an American businesswoman and philanthropist best known as the longtime wife of actor Dustin Hoffman.
- 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_69d8076aae28819092cf636190ee5529 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dbb0aa9a1481908c6f92495aff86c6 |
completed | April 12, 2026, 2:48 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fde15abe6c8190a6212861bbce790e |
completed | May 8, 2026, 1:12 p.m. |
| NEDg | Description generation | batch_69fde41944f4819099f41860272bca49 |
completed | May 8, 2026, 1:24 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69fde4981c98819092e30a61892a6e78 |
completed | May 8, 2026, 1:26 p.m. |
Created at: April 9, 2026, 9:50 p.m.