Triple
T14496866
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | James V. Hart |
E359522
|
entity |
| Predicate | basedOn |
P98
|
FINISHED |
| Object | Natalie Babbitt |
E773062
|
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: Natalie Babbitt | Statement: [James V. Hart, basedOn, Natalie Babbitt]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Natalie Babbitt Context triple: [James V. Hart, basedOn, Natalie Babbitt]
-
A.
Natalie Babbitt
chosen
Natalie Babbitt was an American author and illustrator of children’s books, best known for her classic fantasy novel "Tuck Everlasting."
-
B.
Katherine Paterson
Katherine Paterson is an acclaimed American author of children's and young adult literature, best known for novels such as "Bridge to Terabithia" and "Jacob Have I Loved."
-
C.
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."
-
D.
Zannie Beaty
Zannie Beaty is a film producer known for work on the teen comedy movie "Easy A."
-
E.
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."
- 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_69d8279740308190af9df93a3af8592e |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de93109cb081909a6e846db23a4635 |
completed | April 14, 2026, 7:18 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd6d9731588190b27a826582e5fc6d |
completed | May 8, 2026, 4:59 a.m. |
Created at: April 10, 2026, 1:21 a.m.