Triple
T35805041
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Reality Era |
E1035081
|
entity |
| Predicate | hasFlagshipShow |
P100191
|
FINISHED |
| Object | WWE Raw |
—
|
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: WWE Raw | Statement: [Reality Era, hasFlagshipShow, WWE Raw]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasFlagshipShow Context triple: [Reality Era, hasFlagshipShow, WWE Raw]
-
A.
hasFlagshipIn
Indicates that an entity designates a particular location or branch as its primary or flagship presence.
-
B.
hasFlagshipType
Indicates that an entity has a primary or leading type within a set of related types.
-
C.
flagshipShowOf
chosen
Indicates that one show serves as the primary, most prominent, or representative program associated with a particular entity (such as a network, brand, or organization).
-
D.
hasFlagshipArtist
Indicates that an entity (such as a label, brand, or organization) has a primary or most prominently represented artist associated with it.
-
E.
hasFlagshipNewscast
Indicates that an organization or broadcaster has a primary, most prominent news program that serves as its flagship newscast.
- 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_69f76e169bd081909f16cd8c9ee7870c |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_69f7aa699d68819081ed363931894ab3 |
completed | May 3, 2026, 8:04 p.m. |
| PD | Predicate disambiguation | batch_69f7a8d219f8819081dc4ce3c83ca0cb |
completed | May 3, 2026, 7:58 p.m. |
Created at: May 3, 2026, 4:06 p.m.