Triple
T11396105
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Our Miss Brooks |
E269976
|
entity |
| Predicate | starred |
P5563
|
FINISHED |
| Object |
Jane Morgan
Jane Morgan was an American actress best known for her role as the school secretary in the classic radio and television sitcom "Our Miss Brooks."
|
E973744
|
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: Jane Morgan | Statement: [Our Miss Brooks, starred, Jane Morgan]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jane Morgan Context triple: [Our Miss Brooks, starred, Jane Morgan]
-
A.
Jane Morgan
Jane Morgan is an American traditional pop singer who gained popularity in the 1950s and 1960s with a series of hit recordings in both the United States and Europe.
-
B.
Alice Morgan
Alice Morgan is a brilliant but psychopathic scientist and Luther’s complex nemesis-ally in the British crime drama series "Luther."
-
C.
Emily Sargent
Emily Sargent was the wife of 19th-century Anglican bishop and prominent public figure Samuel Wilberforce.
-
D.
Emily Sargent
Emily Sargent was a British artist and watercolorist, best known for her landscapes and for being part of the culturally prominent Sargent family.
-
E.
Sarah Morgan
Sarah Morgan is a British comedy writer and performer known for her work on BBC Radio 4’s satirical sketch show "The Now Show."
- 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: Jane Morgan Triple: [Our Miss Brooks, starred, Jane Morgan]
Generated description
Jane Morgan was an American actress best known for her role as the school secretary in the classic radio and television sitcom "Our Miss Brooks."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Jane Morgan Target entity description: Jane Morgan was an American actress best known for her role as the school secretary in the classic radio and television sitcom "Our Miss Brooks."
-
A.
Jane Morgan
Jane Morgan is an American traditional pop singer who gained popularity in the 1950s and 1960s with a series of hit recordings in both the United States and Europe.
-
B.
Alice Morgan
Alice Morgan is a brilliant but psychopathic scientist and Luther’s complex nemesis-ally in the British crime drama series "Luther."
-
C.
Emily Sargent
Emily Sargent was the wife of 19th-century Anglican bishop and prominent public figure Samuel Wilberforce.
-
D.
Emily Sargent
Emily Sargent was a British artist and watercolorist, best known for her landscapes and for being part of the culturally prominent Sargent family.
-
E.
Sarah Morgan
Sarah Morgan is a British comedy writer and performer known for her work on BBC Radio 4’s satirical sketch show "The Now Show."
- 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_69d6aacdbc6c8190af6dc3d5f5d22836 |
completed | April 8, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69d80019d3d48190a2f473deb6eae33a |
completed | April 9, 2026, 7:38 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f61e3185fc81908c1b838e6883de2f |
completed | May 2, 2026, 3:54 p.m. |
| NEDg | Description generation | batch_69f61f5b107c819082094791fcf7c5f4 |
completed | May 2, 2026, 3:59 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f62006afcc8190b8e3b55a5fd8eaca |
completed | May 2, 2026, 4:02 p.m. |
Created at: April 8, 2026, 9:34 p.m.