Triple
T14535728
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dr. Dolittle 2 |
E341038
|
entity |
| Predicate | screenwriter |
P2831
|
FINISHED |
| Object | Larry Levin |
E375291
|
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: Larry Levin | Statement: [Dr. Dolittle 2, screenwriter, Larry Levin]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Larry Levin Context triple: [Dr. Dolittle 2, screenwriter, Larry Levin]
-
A.
Larry Levin
chosen
Larry Levin is an American screenwriter known for his work on popular comedy films, including the 1998 adaptation of "Dr. Dolittle."
-
B.
Sam Levine
Sam Levine is an American animation director and storyboard artist known for co-directing the superhero comedy film "DC League of Super-Pets."
-
C.
Philip Levene
Philip Levene was a British television and film writer best known for his work on the 1960s spy series "The Avengers."
-
D.
Ira Levinson
Ira Levinson is a fictional elderly widower whose poignant love story and letters play a central role in Nicholas Sparks’ novel "The Longest Ride."
-
E.
Cliff Eidelman
Cliff Eidelman is an American composer best known for his orchestral film scores, including his acclaimed work on movies such as Star Trek VI: The Undiscovered Country and other major Hollywood productions.
- 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_69d822dac79c8190a84a073f3cbaced5 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69deb1b9d39881908c7a3a5b17d432af |
completed | April 14, 2026, 9:29 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a018c30b5388190b5c4190d89c7ae97 |
completed | May 11, 2026, 7:58 a.m. |
Created at: April 10, 2026, 1:22 a.m.