Triple
T1958006
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Penny Marshall |
E42313
|
entity |
| Predicate | mother |
P120
|
FINISHED |
| Object |
Marjorie Marshall
Marjorie Marshall was an American tap dance teacher and the mother of filmmaker and actress Penny Marshall.
|
E332736
|
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: Marjorie Marshall | Statement: [Penny Marshall, mother, Marjorie Marshall]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Marjorie Marshall Context triple: [Penny Marshall, mother, Marjorie Marshall]
-
A.
Margaret Haley
Margaret Haley was an influential American educator and labor activist who championed teachers' rights and helped pioneer the modern teachers' union movement.
-
B.
Ruth Cunningham
Ruth Cunningham was the wife of American colonial lawyer and patriot James Otis Jr., a prominent figure in the early resistance to British rule.
-
C.
Margaret Hogan
Margaret Hogan was the wife of legendary Major League Baseball manager and team owner Connie Mack.
-
D.
Martha McMillan Roberts
Martha McMillan Roberts was a Farm Security Administration photographer known for documenting American life during the Great Depression era.
-
E.
Marjorie Nelson
Marjorie Nelson was an American actress known for her work on stage and screen and for being married to fellow actor Howard Da Silva.
- 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: Marjorie Marshall Triple: [Penny Marshall, mother, Marjorie Marshall]
Generated description
Marjorie Marshall was an American tap dance teacher and the mother of filmmaker and actress Penny Marshall.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Marjorie Marshall Target entity description: Marjorie Marshall was an American tap dance teacher and the mother of filmmaker and actress Penny Marshall.
-
A.
Margaret Haley
Margaret Haley was an influential American educator and labor activist who championed teachers' rights and helped pioneer the modern teachers' union movement.
-
B.
Ruth Cunningham
Ruth Cunningham was the wife of American colonial lawyer and patriot James Otis Jr., a prominent figure in the early resistance to British rule.
-
C.
Margaret Hogan
Margaret Hogan was the wife of legendary Major League Baseball manager and team owner Connie Mack.
-
D.
Martha McMillan Roberts
Martha McMillan Roberts was a Farm Security Administration photographer known for documenting American life during the Great Depression era.
-
E.
Marjorie Nelson
Marjorie Nelson was an American actress known for her work on stage and screen and for being married to fellow actor Howard Da Silva.
- 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_69a8870eea088190a38781990812a9bc |
completed | March 4, 2026, 7:25 p.m. |
| NER | Named-entity recognition | batch_69abb37e21cc8190b6e13b86bc93d594 |
completed | March 7, 2026, 5:11 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b235511e848190897493ab54d2f198 |
completed | March 12, 2026, 3:38 a.m. |
| NEDg | Description generation | batch_69b2365f20dc819081b8d2beccc31c19 |
completed | March 12, 2026, 3:43 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69b237397e14819093a7192d28c59ad1 |
completed | March 12, 2026, 3:47 a.m. |
Created at: March 4, 2026, 7:36 p.m.