Triple
T15034737
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Star in a Reasonably Priced Car |
E378449
|
entity |
| Predicate | typicalGuestType |
P44542
|
FINISHED |
| Object | actors |
—
|
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: actors | Statement: [Star in a Reasonably Priced Car, typicalGuestType, actors]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typicalGuestType Context triple: [Star in a Reasonably Priced Car, typicalGuestType, actors]
-
A.
typicalGuests
chosen
Indicates the usual or most common guests associated with a particular host, place, or event.
-
B.
typicalGuestConfederation
Indicates that one entity is typically a guest or participant within the confederation represented by the other entity.
-
C.
participantType
Indicates the specific role or category that a participant has within a given event, activity, or relationship.
-
D.
personType
Indicates that an entity is classified as a particular type or category of person.
-
E.
typicalSpeaker
Indicates that the subject is a prototypical or characteristic speaker or source of utterances in the context of the object.
- 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_69d85cd46b2c819090d054c27787f677 |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69ded82b29948190acda49cbec3f927a |
completed | April 15, 2026, 12:13 a.m. |
| PD | Predicate disambiguation | batch_69de9a67cbc481909c19c2de57de4eb7 |
completed | April 14, 2026, 7:50 p.m. |
Created at: April 10, 2026, 2:59 a.m.