Triple
T12310519
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Murray Slaughter |
E293463
|
entity |
| Predicate | worksFor |
P5820
|
FINISHED |
| Object |
WJM-TV
WJM-TV is the fictional Minneapolis television station where the characters of The Mary Tyler Moore Show, including news writer Murray Slaughter, work.
|
E973555
|
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: WJM-TV | Statement: [Murray Slaughter, worksFor, WJM-TV]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: WJM-TV Context triple: [Murray Slaughter, worksFor, WJM-TV]
-
A.
WSAW-TV
WSAW-TV is a local television station serving the Wausau, Wisconsin area, providing news, weather, and entertainment programming to regional viewers.
-
B.
WABI-TV
WABI-TV is a long-running CBS-affiliated television station serving the Bangor, Maine market with local news, weather, and entertainment programming.
-
C.
WSNS-TV
WSNS-TV is a Spanish-language television station in Chicago affiliated with Telemundo and owned by NBCUniversal.
-
D.
WJAR-TV
WJAR-TV is a television station serving the Providence, Rhode Island–New Bedford, Massachusetts market, known primarily as the local NBC affiliate.
-
E.
KSWB-TV
KSWB-TV is a television station serving the San Diego, California market, known primarily as the local Fox network affiliate.
- 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: WJM-TV Triple: [Murray Slaughter, worksFor, WJM-TV]
Generated description
WJM-TV is the fictional Minneapolis television station where the characters of The Mary Tyler Moore Show, including news writer Murray Slaughter, work.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: WJM-TV Target entity description: WJM-TV is the fictional Minneapolis television station where the characters of The Mary Tyler Moore Show, including news writer Murray Slaughter, work.
-
A.
WSAW-TV
WSAW-TV is a local television station serving the Wausau, Wisconsin area, providing news, weather, and entertainment programming to regional viewers.
-
B.
WABI-TV
WABI-TV is a long-running CBS-affiliated television station serving the Bangor, Maine market with local news, weather, and entertainment programming.
-
C.
WSNS-TV
WSNS-TV is a Spanish-language television station in Chicago affiliated with Telemundo and owned by NBCUniversal.
-
D.
WJAR-TV
WJAR-TV is a television station serving the Providence, Rhode Island–New Bedford, Massachusetts market, known primarily as the local NBC affiliate.
-
E.
KSWB-TV
KSWB-TV is a television station serving the San Diego, California market, known primarily as the local Fox network affiliate.
- 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_69d6ab6a2b50819082f6aedd32ed608a |
completed | April 8, 2026, 7:24 p.m. |
| NER | Named-entity recognition | batch_69d93f02c0508190b10c0627cdaaba76 |
completed | April 10, 2026, 6:18 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f61e84fa708190854afc6afd425fd7 |
completed | May 2, 2026, 3:55 p.m. |
| NEDg | Description generation | batch_69f61f5d746c8190b5b0edfc4832bc6c |
completed | May 2, 2026, 3:59 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f62045b20c819083c755fbe99a9a7f |
completed | May 2, 2026, 4:03 p.m. |
Created at: April 8, 2026, 9:53 p.m.