Triple
T2136050
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lita Grey |
E46655
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
MacMurray
MacMurray is the surname associated with Lita Grey, the American actress best known for her early marriage to Charlie Chaplin.
|
E237098
|
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: MacMurray | Statement: [Lita Grey, familyName, MacMurray]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: MacMurray Context triple: [Lita Grey, familyName, MacMurray]
-
A.
John Pitt
John Pitt was a British politician and member of the influential Pitt family, active in public life during the 18th century.
-
B.
MacDouglas
MacDouglas is a Scottish surname variant of Douglas, traditionally associated with clans and families of Scottish heritage.
-
C.
Christopher Ross
Christopher Ross is a British cinematographer known for his visually distinctive work on films such as "Yesterday" and other contemporary feature productions.
-
D.
Murray Bartlett
Murray Bartlett is an Australian actor best known for his acclaimed performances in television series such as "Looking," "The White Lotus," and "The Last of Us."
-
E.
Luke Murray
Luke Murray is an American basketball coach known for his assistant coaching roles at several major college programs and as the son of actor Bill Murray.
- 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: MacMurray Triple: [Lita Grey, familyName, MacMurray]
Generated description
MacMurray is the surname associated with Lita Grey, the American actress best known for her early marriage to Charlie Chaplin.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: MacMurray Target entity description: MacMurray is the surname associated with Lita Grey, the American actress best known for her early marriage to Charlie Chaplin.
-
A.
John Pitt
John Pitt was a British politician and member of the influential Pitt family, active in public life during the 18th century.
-
B.
MacDouglas
MacDouglas is a Scottish surname variant of Douglas, traditionally associated with clans and families of Scottish heritage.
-
C.
Christopher Ross
Christopher Ross is a British cinematographer known for his visually distinctive work on films such as "Yesterday" and other contemporary feature productions.
-
D.
Murray Bartlett
Murray Bartlett is an Australian actor best known for his acclaimed performances in television series such as "Looking," "The White Lotus," and "The Last of Us."
-
E.
Luke Murray
Luke Murray is an American basketball coach known for his assistant coaching roles at several major college programs and as the son of actor Bill Murray.
- 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_69a88a174ab48190a5db20c132e5dccf |
completed | March 4, 2026, 7:37 p.m. |
| NER | Named-entity recognition | batch_69abbdc4ce8c81908d143d5451681e6a |
completed | March 7, 2026, 5:55 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ae51acc0f88190a580e29d887170ec |
completed | March 9, 2026, 4:50 a.m. |
| NEDg | Description generation | batch_69ae5322097c81909d77d54ae258ab1a |
completed | March 9, 2026, 4:57 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ae5365cd808190aa8363b612ef0ec5 |
completed | March 9, 2026, 4:58 a.m. |
Created at: March 4, 2026, 7:44 p.m.