Triple
T13933962
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | A Tree Grows in Brooklyn |
E335062
|
entity |
| Predicate | author |
P4
|
FINISHED |
| Object | Betty Smith |
E335062
|
NE FINISHED |
How this triple was built (2 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: Betty Smith | Statement: [A Tree Grows in Brooklyn, author, Betty Smith]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Betty Smith Context triple: [A Tree Grows in Brooklyn, author, Betty Smith]
-
A.
Betty Smith
Betty Smith is a fictional character from the animated television series "American Dad!", known as a member of Stan Smith's extended family.
-
B.
Betty Smith
chosen
Betty Smith was an American author best known for her classic coming-of-age novel "A Tree Grows in Brooklyn."
-
C.
Wendelin Van Draanen
Wendelin Van Draanen is an American author best known for her young adult and children’s novels, including the popular book "Flipped."
-
D.
Lois Duncan
Lois Duncan was an American author best known for her suspenseful young adult novels that often blend mystery, psychological tension, and elements of the supernatural.
-
E.
Judy Blume
Judy Blume is a celebrated American author best known for her candid, influential novels for children and young adults that address adolescence, identity, and coming-of-age.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69d81c5f739081908bc05b2461f54828 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de2cf28df081908d897d7b9ec7939d |
completed | April 14, 2026, 12:02 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f7ce865ab4819088221189344b3801 |
completed | May 3, 2026, 10:39 p.m. |
Created at: April 9, 2026, 10:17 p.m.