Triple
T12705954
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Goodnight Mister Tom |
E303585
|
entity |
| Predicate | authorOfOriginalWork |
P4244
|
FINISHED |
| Object |
Michelle Magorian
Michelle Magorian is a British author best known for her award-winning children's and young adult novels, often set during World War II.
|
E1048087
|
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: Michelle Magorian | Statement: [Goodnight Mister Tom, authorOfOriginalWork, Michelle Magorian]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Michelle Magorian Context triple: [Goodnight Mister Tom, authorOfOriginalWork, Michelle Magorian]
-
A.
Michelle Mylett
Michelle Mylett is a Canadian actress best known for playing Katy on the comedy series "Letterkenny."
-
B.
Maggie Bronstein
Maggie Bronstein is the young, inquisitive neighbor girl in the film "St. Vincent" whose unlikely friendship with the gruff title character drives much of the movie’s emotional core.
-
C.
Laura Malinger
Laura Malinger is the mother of American former child actor Ross Malinger, known for his role in the film "Sleepless in Seattle."
-
D.
Justine Maggart
Justine Maggart is an American singer and actress, known for her work in cabaret and musical theater.
-
E.
Amanda Naughton
Amanda Naughton is an American actress best known for her starring role on the 1990s television series "Remember WENN."
- 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: Michelle Magorian Triple: [Goodnight Mister Tom, authorOfOriginalWork, Michelle Magorian]
Generated description
Michelle Magorian is a British author best known for her award-winning children's and young adult novels, often set during World War II.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Michelle Magorian Target entity description: Michelle Magorian is a British author best known for her award-winning children's and young adult novels, often set during World War II.
-
A.
Michelle Mylett
Michelle Mylett is a Canadian actress best known for playing Katy on the comedy series "Letterkenny."
-
B.
Maggie Bronstein
Maggie Bronstein is the young, inquisitive neighbor girl in the film "St. Vincent" whose unlikely friendship with the gruff title character drives much of the movie’s emotional core.
-
C.
Laura Malinger
Laura Malinger is the mother of American former child actor Ross Malinger, known for his role in the film "Sleepless in Seattle."
-
D.
Justine Maggart
Justine Maggart is an American singer and actress, known for her work in cabaret and musical theater.
-
E.
Amanda Naughton
Amanda Naughton is an American actress best known for her starring role on the 1990s television series "Remember WENN."
- 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_69d7bdef90d48190b46b88270e780946 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d961f1adec8190a53c80e9556b3fe0 |
completed | April 10, 2026, 8:47 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f76b9383088190a0194cd0e666d11c |
completed | May 3, 2026, 3:36 p.m. |
| NEDg | Description generation | batch_69f7763fc23c819098d46ab0906b8764 |
completed | May 3, 2026, 4:22 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f7791add908190af69b23a54eb7560 |
completed | May 3, 2026, 4:34 p.m. |
Created at: April 9, 2026, 5:23 p.m.