Triple
T4409277
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lowry |
E94810
|
entity |
| Predicate | hasNotableBearer |
P458
|
FINISHED |
| Object |
Lois Lowry
Lois Lowry is an American author best known for her award-winning young adult novels such as "The Giver" and "Number the Stars."
|
E438259
|
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: Lois Lowry | Statement: [Lowry, hasNotableBearer, Lois Lowry]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lois Lowry Context triple: [Lowry, hasNotableBearer, Lois Lowry]
-
A.
Jane Yolen
Jane Yolen is a prolific American author best known for her fantasy, science fiction, and children's literature, including works like "The Devil's Arithmetic" and "Owl Moon."
-
B.
Patrick Ness
Patrick Ness is an acclaimed American-born British author best known for his young adult novels such as the "Chaos Walking" trilogy and "A Monster Calls."
-
C.
Markus Zusak
Markus Zusak is an Australian novelist best known for his internationally acclaimed World War II–set novel "The Book Thief."
-
D.
James Dashner
James Dashner is an American author best known for writing the young adult dystopian science fiction series "The Maze Runner."
-
E.
Betty Smith
Betty Smith was an American author best known for her classic coming-of-age novel "A Tree Grows in Brooklyn."
- 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: Lois Lowry Triple: [Lowry, hasNotableBearer, Lois Lowry]
Generated description
Lois Lowry is an American author best known for her award-winning young adult novels such as "The Giver" and "Number the Stars."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Lois Lowry Target entity description: Lois Lowry is an American author best known for her award-winning young adult novels such as "The Giver" and "Number the Stars."
-
A.
Jane Yolen
Jane Yolen is a prolific American author best known for her fantasy, science fiction, and children's literature, including works like "The Devil's Arithmetic" and "Owl Moon."
-
B.
Patrick Ness
Patrick Ness is an acclaimed American-born British author best known for his young adult novels such as the "Chaos Walking" trilogy and "A Monster Calls."
-
C.
Markus Zusak
Markus Zusak is an Australian novelist best known for his internationally acclaimed World War II–set novel "The Book Thief."
-
D.
James Dashner
James Dashner is an American author best known for writing the young adult dystopian science fiction series "The Maze Runner."
-
E.
Betty Smith
Betty Smith was an American author best known for her classic coming-of-age novel "A Tree Grows in Brooklyn."
- 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_69b34539638c8190abfea3eb29425210 |
completed | March 12, 2026, 10:59 p.m. |
| NER | Named-entity recognition | batch_69b3548e24d08190a38c0bcd4b6ad571 |
completed | March 13, 2026, 12:04 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b5f60ea0808190a59418f7911d123d |
completed | March 14, 2026, 11:58 p.m. |
| NEDg | Description generation | batch_69b5f9e8c7d08190b8a61ba1c4bf559a |
completed | March 15, 2026, 12:14 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69b5fa6495f881909a08b0e5b8b7decf |
completed | March 15, 2026, 12:16 a.m. |
Created at: March 12, 2026, 11:28 p.m.