Triple
T6995047
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bill Murray |
E162187
|
entity |
| Predicate | parentOf |
P120
|
FINISHED |
| Object | Jackson Murray |
E162187
|
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: Jackson Murray | Statement: [Bill Murray, parentOf, Jackson Murray]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jackson Murray Context triple: [Bill Murray, parentOf, Jackson Murray]
-
A.
Jackson Murray
chosen
Jackson Murray is one of actor and comedian Bill Murray’s sons, known primarily for his connection to the famed entertainer.
-
B.
Nathaniel Allison Murray
Nathaniel Allison Murray was one of the seven founders of Alpha Phi Alpha, the first intercollegiate historically African American fraternity.
-
C.
Murray Douglass
Murray Douglass is the family name of Anna Murray Douglass, the abolitionist and first wife of Frederick Douglass.
-
D.
Kay Hilliard
Kay Hilliard is the central female protagonist in the 1956 musical film "The Opposite Sex," navigating love, betrayal, and personal growth within the world of high society marriages.
-
E.
Leon Durham
Leon Durham is a former Major League Baseball first baseman and outfielder best known for his years with the Chicago Cubs in the early 1980s.
- 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_69c68857ffc08190857dc62cd5253777 |
completed | March 27, 2026, 1:38 p.m. |
| NER | Named-entity recognition | batch_69c6dbec259c8190bb4cfbc1ff6fc786 |
completed | March 27, 2026, 7:35 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c79c7e87b88190bed99f68bbffa186 |
completed | March 28, 2026, 9:16 a.m. |
Created at: March 27, 2026, 2:32 p.m.