Triple
T18993086
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Puff, the Magic Dragon |
E464737
|
entity |
| Predicate | interpretationDeniedBy |
P134062
|
FINISHED |
| Object | Leonard Lipton |
—
|
NE NERFINISHED |
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: Leonard Lipton | Statement: [Puff, the Magic Dragon, interpretationDeniedBy, Leonard Lipton]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Leonard Lipton Context triple: [Puff, the Magic Dragon, interpretationDeniedBy, Leonard Lipton]
-
A.
Leonard Lipton
chosen
Leonard Lipton was an American poet and filmmaker best known for writing the poem that became the basis for the lyrics to the popular song "Puff, the Magic Dragon."
-
B.
Leonard Sachs
Leonard Sachs was a South African-born British actor best known for hosting the BBC television variety show "The Good Old Days" and for his character roles in film and television.
-
C.
Leonard Stein
Leonard Stein was a British lawyer, Zionist leader, and historian best known for his authoritative work on the Balfour Declaration.
-
D.
Leonard Shapiro
Leonard Shapiro is a film producer best known for his work on the comedy sequel "Hamlet 2."
-
E.
Armond Lebowitz
Armond Lebowitz is a film editor known for his work on genre movies, including the horror film "A Return to Salem's Lot."
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8dd01a56c81909694a128c66b21d7 |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5d67eedc88190bfb7b327b47db76d |
completed | April 20, 2026, 7:32 a.m. |
Created at: April 10, 2026, 12:01 p.m.