Triple
T15669210
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | (500) Days of Summer |
E377263
|
entity |
| Predicate | producer |
P490
|
FINISHED |
| Object | Jessica Tuchinsky |
E1050130
|
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: Jessica Tuchinsky | Statement: [(500) Days of Summer, producer, Jessica Tuchinsky]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jessica Tuchinsky Context triple: [(500) Days of Summer, producer, Jessica Tuchinsky]
-
A.
Jessica Tuchinsky
chosen
Jessica Tuchinsky is a television and film producer known for her executive production work on the miniseries adaptation of John Green's novel "Looking for Alaska."
-
B.
Tana Mundkowsky
Tana Mundkowsky is an American woman best known as the wife of The Killers’ lead singer Brandon Flowers and for her influence on some of the band’s songs and imagery.
-
C.
Tessa Feldman
Tessa Feldman is the mother of renowned British actress Fenella Fielding.
-
D.
Rebecca Wisocky
Rebecca Wisocky is an American actress best known for her television work, including her prominent role on the series "Devious Maids."
-
E.
Emily Dreyfuss
Emily Dreyfuss is an American journalist and writer known for her work on technology, politics, and digital culture for outlets such as WIRED and the Harvard Shorenstein Center.
- 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_69d85cd2e28481909d4e975bee20872f |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69e04f1254508190a77a16b7bfd299ad |
completed | April 16, 2026, 2:53 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a05c53165b8819084de86f43bee9d41 |
completed | May 14, 2026, 12:50 p.m. |
Created at: April 10, 2026, 4:16 a.m.