Triple
T9742010
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chicken Little (2005 film) |
E236206
|
entity |
| Predicate | storyBy |
P1955
|
FINISHED |
| Object | Ron J. Friedman |
E828625
|
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: Ron J. Friedman | Statement: [Chicken Little (2005 film), storyBy, Ron J. Friedman]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ron J. Friedman Context triple: [Chicken Little (2005 film), storyBy, Ron J. Friedman]
-
A.
Ron J. Friedman
chosen
Ron J. Friedman is an American screenwriter best known for co-writing animated feature films such as "Chicken Little" (2005).
-
B.
Stephen J. Friedman
Stephen J. Friedman was an American film producer and studio executive known for producing notable Hollywood films from the 1970s through the 1990s.
-
C.
Jeffrey Friedman
Jeffrey Friedman is an American molecular geneticist best known for co-discovering the hormone leptin and elucidating its role in regulating body weight and obesity.
-
D.
Jeffrey Friedman
Jeffrey Friedman is an American documentary filmmaker known for co-directing acclaimed non-fiction films, often exploring cultural and social issues.
-
E.
Jonathan Friedman
Jonathan Friedman is a relatively common personal name shared by multiple individuals across various professional fields, including academia, law, and the arts.
- 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_69ca84d3e24481908a476e2231123cf9 |
completed | March 30, 2026, 2:12 p.m. |
| NER | Named-entity recognition | batch_69cd9f2cb7008190a829a03114d6c704 |
completed | April 1, 2026, 10:41 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d2285b4c8081908aba8a074288ee00 |
completed | April 5, 2026, 9:16 a.m. |
Created at: March 30, 2026, 8:23 p.m.