Triple
T11049683
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Flipper (1996 film) |
E261212
|
entity |
| Predicate | starring |
P1507
|
FINISHED |
| Object | Chelsea Field |
E749713
|
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: Chelsea Field | Statement: [Flipper (1996 film), starring, Chelsea Field]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Chelsea Field Context triple: [Flipper (1996 film), starring, Chelsea Field]
-
A.
Chelsea Field
chosen
Chelsea Field is an American actress and former dancer known for roles in films like "The Last Boy Scout" and "Masters of the Universe," as well as for her television work.
-
B.
Mary Field
Mary Field was an American character actress known for her numerous supporting roles in Hollywood films from the 1930s through the 1950s.
-
C.
Virginia Fields
Virginia Fields is known as the wife of legendary American football coach and broadcaster John Madden.
-
D.
Summerfield
Summerfield is a small town in northwestern North Carolina known for its semi-rural character and proximity to the city of Greensboro.
-
E.
Jamie Fields
Jamie Fields is a central teenage character in the 2016 coming-of-age film "20th Century Women," navigating identity, relationships, and adulthood in late-1970s California.
- 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_69d6aa98650481908609c7c56bfa7902 |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d79868c78881908c8e3672c05ae7ec |
completed | April 9, 2026, 12:15 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e3aa06bae08190a0db615a258ded29 |
completed | April 18, 2026, 3:57 p.m. |
Created at: April 8, 2026, 9:26 p.m.