Triple
T10492900
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Between Two Worlds |
E247461
|
entity |
| Predicate | starring |
P1507
|
FINISHED |
| Object | Faye Emerson |
E67606
|
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: Faye Emerson | Statement: [Between Two Worlds, starring, Faye Emerson]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Faye Emerson Context triple: [Between Two Worlds, starring, Faye Emerson]
-
A.
Faye Emerson
chosen
Faye Emerson was an American film and stage actress who became a popular early television personality in the 1940s and 1950s.
-
B.
Faye Medwick
Faye Medwick is a fictional character appearing in the work titled "Chapter Two."
-
C.
Faye Webb Gardner
Faye Webb Gardner was a prominent local benefactor and namesake whose support and influence were instrumental in the development of Gardner–Webb Junior College in North Carolina.
-
D.
Emmy Brown
Emmy Brown is a character in the 1941 romantic drama film "Hold Back the Dawn," serving as part of the story’s emotional and narrative development.
-
E.
Faye Greener
Faye Greener is a vain, ambitious aspiring actress in Hollywood and a central figure whose illusions and manipulations drive much of the drama in "The Day of the Locust."
- 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_69d381c309b88190af78aa681cf6a4c2 |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d5097ecbec8190807c4fcc85662026 |
completed | April 7, 2026, 1:41 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e154529dd08190abbfc8d8281a642f |
completed | April 16, 2026, 9:27 p.m. |
Created at: April 6, 2026, 12:24 p.m.