Triple
T3168157
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Build Series |
E66260
|
entity |
| Predicate | featuresGuestType |
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: [Build Series, featuresGuestType, actors]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: featuresGuestType Context triple: [Build Series, featuresGuestType, actors]
-
A.
participantType
Indicates the specific role or category that a participant has within a given event, activity, or relationship.
-
B.
typicalGuests
chosen
Indicates the usual or most common guests associated with a particular host, place, or event.
-
C.
supportsGuest
Indicates that one entity provides assistance, resources, or accommodation to another entity in the role of a guest.
-
D.
featuresHosts
Indicates that one entity serves as the host or platform on which another entity is presented, run, or made available.
-
E.
hostStarType
Indicates the classification of the star that serves as the primary host for an object, such as a planet or planetary system.
- 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_69ad8585d7988190af37365331093ccd |
completed | March 8, 2026, 2:19 p.m. |
| NER | Named-entity recognition | batch_69ada6457acc8190b2b9acbd1cfcdb91 |
completed | March 8, 2026, 4:39 p.m. |
| PD | Predicate disambiguation | batch_69ad9dfe0a948190928f2201d671c654 |
completed | March 8, 2026, 4:04 p.m. |
Created at: March 8, 2026, 3:06 p.m.