Triple
T14018628
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Faye Emerson Show (NBC prime-time variety show) |
E337264
|
entity |
| Predicate | castingChoice |
P87292
|
FINISHED |
| Object | Faye Emerson as host |
—
|
LITERAL 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 as host | Statement: [The Faye Emerson Show (NBC prime-time variety show), castingChoice, Faye Emerson as host]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: castingChoice Context triple: [The Faye Emerson Show (NBC prime-time variety show), castingChoice, Faye Emerson as host]
-
A.
castingChoiceFor
chosen
Indicates a relationship where a particular casting decision or option is selected or designated for a specific role, production, or performance.
-
B.
castIn
Indicates that an actor or performer appears in a particular film, show, or production.
-
C.
cast
Indicates that an agent selects and assigns a person or thing to play a specific role or function in a production or context.
-
D.
castingReason
Indicates the reason or justification for selecting or assigning a particular entity (e.g., a person or object) to a specific role, function, or category.
-
E.
castType
Indicates the specific kind or category of casting relationship that exists between two entities.
- F. None of above.
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_69d81c6543a48190bd5ba93d7419e797 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de2f3b5b088190a58715779d2c46a6 |
completed | April 14, 2026, 12:12 p.m. |
| PD | Predicate disambiguation | batch_69de05a802ac819090604025aae6a4d5 |
completed | April 14, 2026, 9:15 a.m. |
Created at: April 9, 2026, 10:19 p.m.