Triple
T14397573
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Three Men and a Little Lady |
E356988
|
entity |
| Predicate | starredActor |
P5563
|
FINISHED |
| Object |
Robin Weisman
Robin Weisman is an American former child actress best known for playing Mary Bennington in the film "Three Men and a Little Lady."
|
E1111610
|
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: Robin Weisman | Statement: [Three Men and a Little Lady, starredActor, Robin Weisman]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Robin Weisman Context triple: [Three Men and a Little Lady, starredActor, Robin Weisman]
-
A.
Sam Weisman
Sam Weisman is an American film and television director and producer known for his work on comedies such as "George of the Jungle" and various popular TV series.
-
B.
Nicole Mossbacher
Nicole Mossbacher is a high-powered, affluent tech executive and mother featured as one of the central guests at a luxury Hawaiian resort in the HBO series "The White Lotus."
-
C.
Ron Feemster
Ron Feemster is a music producer known for his work on the album "Afrodisiac."
-
D.
Melissa Sasse
Melissa Sasse is the wife of American academic and former U.S. Senator Ben Sasse and a longtime partner in his political and professional life.
-
E.
Erinn Bartlett
Erinn Bartlett is an American actress and former beauty pageant titleholder known for supporting roles in film and television.
- 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: Robin Weisman Triple: [Three Men and a Little Lady, starredActor, Robin Weisman]
Generated description
Robin Weisman is an American former child actress best known for playing Mary Bennington in the film "Three Men and a Little Lady."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Robin Weisman Target entity description: Robin Weisman is an American former child actress best known for playing Mary Bennington in the film "Three Men and a Little Lady."
-
A.
Sam Weisman
Sam Weisman is an American film and television director and producer known for his work on comedies such as "George of the Jungle" and various popular TV series.
-
B.
Nicole Mossbacher
Nicole Mossbacher is a high-powered, affluent tech executive and mother featured as one of the central guests at a luxury Hawaiian resort in the HBO series "The White Lotus."
-
C.
Ron Feemster
Ron Feemster is a music producer known for his work on the album "Afrodisiac."
-
D.
Melissa Sasse
Melissa Sasse is the wife of American academic and former U.S. Senator Ben Sasse and a longtime partner in his political and professional life.
-
E.
Erinn Bartlett
Erinn Bartlett is an American actress and former beauty pageant titleholder known for supporting roles in film and television.
- 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_69d827927c988190ad98bb0360981783 |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de90826f908190b3969af9b7cf922f |
completed | April 14, 2026, 7:07 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fdd5be63848190aa71f009ceaea1b3 |
completed | May 8, 2026, 12:23 p.m. |
| NEDg | Description generation | batch_69fdd7002ae08190964482d91f45d4cd |
completed | May 8, 2026, 12:28 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69fdd771cb188190b44d6e4903fa8f6e |
completed | May 8, 2026, 12:30 p.m. |
Created at: April 10, 2026, 1:17 a.m.