Triple
T3672840
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Stripes |
E77918
|
entity |
| Predicate | writer |
P1360
|
FINISHED |
| Object | Daniel Goldberg |
E479250
|
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: Daniel Goldberg | Statement: [Stripes, writer, Daniel Goldberg]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Daniel Goldberg Context triple: [Stripes, writer, Daniel Goldberg]
-
A.
Daniel Goldberg
chosen
Daniel Goldberg is a Canadian film producer best known for his long-running collaboration with Ivan Reitman on comedies such as "Meatballs," "Stripes," and "Old School."
-
B.
Daniel Katz
Daniel Katz is an environmental activist and social entrepreneur best known for co-founding the Rainforest Alliance, a leading international conservation and sustainability organization.
-
C.
Josh Goldstein
Josh Goldstein is a screenwriter best known for co-writing the story for Disney’s adventure film "Jungle Cruise."
-
D.
Art Goldberg
Art Goldberg was a prominent activist and organizer associated with the 1960s Free Speech Movement at the University of California, Berkeley.
-
E.
Michael Goldenberg
Michael Goldenberg is an American screenwriter and playwright known for adapting major works such as the film version of "Harry Potter and the Order of the Phoenix."
- 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_69ad85e083008190b2e1b7085fe500bd |
completed | March 8, 2026, 2:21 p.m. |
| NER | Named-entity recognition | batch_69adc42f82548190b4d5f0fe7250decb |
completed | March 8, 2026, 6:47 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69be921df91881909c257fbd3c46073c |
completed | March 21, 2026, 12:42 p.m. |
Created at: March 8, 2026, 3:25 p.m.