Triple
T22166798
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Seventh Heaven (1937 film) |
E547810
|
entity |
| Predicate | leadCharacter |
P1668
|
FINISHED |
| Object | Chico |
—
|
NE NERFINISHED |
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: Chico | Statement: [Seventh Heaven (1937 film), leadCharacter, Chico]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Chico Context triple: [Seventh Heaven (1937 film), leadCharacter, Chico]
-
A.
Chico
Chico is the impulsive young gunfighter who joins the group of hired protectors in the classic Western film "The Magnificent Seven" (1960).
-
B.
Chico
Chico is one of the Marx Brothers, known for his comic Italian persona, piano playing, and rapid-fire wordplay in their classic films.
-
C.
Chico
chosen
Chico is the optimistic Parisian sewer worker who becomes the central romantic lead in the silent film "Seventh Heaven" (1927).
-
D.
Chico
Chico is a mid-sized city in Northern California known for California State University, Chico, and its large urban park, Bidwell Park.
-
E.
Blythe
Blythe is a small desert city in Southern California near the Arizona border, known as a stopover along Interstate 10 by the Colorado River.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e11e3c4c5c81908d336165816b12e0 |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f12a3213ec8190841439dbe470d545 |
completed | April 28, 2026, 9:44 p.m. |
Created at: April 16, 2026, 8:34 p.m.