Triple
T4645190
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Collins |
E101754
|
entity |
| Predicate | notableBearer |
P458
|
FINISHED |
| Object |
Suzanne Collins
Suzanne Collins is an American author best known for writing the bestselling dystopian young adult series "The Hunger Games."
|
E459302
|
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: Suzanne Collins | Statement: [Collins, notableBearer, Suzanne Collins]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Suzanne Collins Context triple: [Collins, notableBearer, Suzanne Collins]
-
A.
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."
-
B.
James Dashner
James Dashner is an American author best known for writing the young adult dystopian science fiction series "The Maze Runner."
-
C.
Stephenie Meyer
Stephenie Meyer is an American author best known for writing the hugely popular Twilight vampire romance series, which was adapted into a successful film franchise.
-
D.
John Green
John Green is an American author and YouTube creator best known for his bestselling young adult novels such as "The Fault in Our Stars" and "Looking for Alaska."
-
E.
Markus Zusak
Markus Zusak is an Australian novelist best known for his internationally acclaimed World War II–set novel "The Book Thief."
- 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: Suzanne Collins Triple: [Collins, notableBearer, Suzanne Collins]
Generated description
Suzanne Collins is an American author best known for writing the bestselling dystopian young adult series "The Hunger Games."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Suzanne Collins Target entity description: Suzanne Collins is an American author best known for writing the bestselling dystopian young adult series "The Hunger Games."
-
A.
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."
-
B.
James Dashner
James Dashner is an American author best known for writing the young adult dystopian science fiction series "The Maze Runner."
-
C.
Stephenie Meyer
Stephenie Meyer is an American author best known for writing the hugely popular Twilight vampire romance series, which was adapted into a successful film franchise.
-
D.
John Green
John Green is an American author and YouTube creator best known for his bestselling young adult novels such as "The Fault in Our Stars" and "Looking for Alaska."
-
E.
Markus Zusak
Markus Zusak is an Australian novelist best known for his internationally acclaimed World War II–set novel "The Book Thief."
- 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_69bd43d3bc7c81908f81fcf380476b0f |
completed | March 20, 2026, 12:55 p.m. |
| NER | Named-entity recognition | batch_69bd623815288190b21cf59a3786363d |
completed | March 20, 2026, 3:05 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bdfadc5dc081908d56a49895105efb |
completed | March 21, 2026, 1:56 a.m. |
| NEDg | Description generation | batch_69bdfc6751988190917ec53a8e2e27ec |
completed | March 21, 2026, 2:03 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69be009e6c488190b18e1b2b4b34ecef |
completed | March 21, 2026, 2:21 a.m. |
Created at: March 20, 2026, 1:14 p.m.