Triple
T14680962
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rhoda Morgenstern |
E344780
|
entity |
| Predicate | hasFriend |
P8712
|
FINISHED |
| Object | Murray Slaughter |
E293463
|
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: Murray Slaughter | Statement: [Rhoda Morgenstern, hasFriend, Murray Slaughter]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Murray Slaughter Context triple: [Rhoda Morgenstern, hasFriend, Murray Slaughter]
-
A.
Murray Slaughter
chosen
Murray Slaughter is a fictional television news writer best known as a central character on the classic sitcom "The Mary Tyler Moore Show."
-
B.
Murray Waldron
Murray Waldron is a businessman best known as one of the founders of the telecommunications company WorldCom, Inc.
-
C.
Murray Franklin
Murray Franklin is a fictional late-night talk show host portrayed by Robert De Niro in the 2019 film "Joker," serving as a symbol of media cynicism and a catalyst in Arthur Fleck's transformation.
-
D.
Ian Bishop
Ian Bishop is a former West Indian fast bowler and current cricket commentator known for his impactful international career and insightful broadcasting.
-
E.
Stephen Haggard
Stephen Haggard was a British actor and writer active in the 1930s and early 1940s, known for his stage and film roles before his death during World War II.
- 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_69d822e34b348190ada4d1cdb6c7c226 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69deb5692284819090f775be8e478522 |
completed | April 14, 2026, 9:45 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fde180ff0c8190a8b7c7804e36c3f8 |
completed | May 8, 2026, 1:13 p.m. |
Created at: April 10, 2026, 1:28 a.m.