Triple
T9769994
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lillita Louise MacMurray |
E237097
|
entity |
| Predicate | hasFamilyName |
P18
|
FINISHED |
| Object | MacMurray |
E237098
|
NE FINISHED |
How this triple was built (2 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: [Lillita Louise MacMurray, hasFamilyName, MacMurray]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: MacMurray Context triple: [Lillita Louise MacMurray, hasFamilyName, MacMurray]
-
A.
MacMurray
chosen
MacMurray is the surname associated with Lita Grey, the American actress best known for her early marriage to Charlie Chaplin.
-
B.
MacMurray
MacMurray is a Scottish-origin surname best known through American actor Fred MacMurray, a prominent film and television star of the mid-20th century.
-
C.
Robert MacMurray
Robert MacMurray is known primarily as the father of Lita Grey, the silent film actress and second wife of Charlie Chaplin.
-
D.
Zahn McClarnon
Zahn McClarnon is a Native American actor known for his intense, nuanced performances in television series such as "Longmire," "Westworld," "Reservation Dogs," and Marvel's "Hawkeye."
-
E.
Ross Lockhart
Ross Lockhart is the wealthy, emotionally distant father at the center of Don DeLillo’s novel "Zero K," whose involvement with a cryogenic preservation facility drives the book’s exploration of mortality and technology.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69ca84d831b8819090322686b47887ce |
completed | March 30, 2026, 2:12 p.m. |
| NER | Named-entity recognition | batch_69cda0f1dea08190b89bcc192b068c66 |
completed | April 1, 2026, 10:49 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d1bd0cae548190a2d9b42ea4ecc372 |
completed | April 5, 2026, 1:38 a.m. |
Created at: March 30, 2026, 8:26 p.m.