Triple
T26959113
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Roy Biggins |
E678986
|
entity |
| Predicate | networkOfShowAppearsIn |
P119906
|
FINISHED |
| Object | NBC |
—
|
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: NBC | Statement: [Roy Biggins, networkOfShowAppearsIn, NBC]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: networkOfShowAppearsIn Context triple: [Roy Biggins, networkOfShowAppearsIn, NBC]
-
A.
networkOfAppearance
Indicates a relationship where entities are connected through shared or co-occurring appearances within the same context, medium, or setting.
-
B.
tvShowAppearance
Indicates that an entity appears or participates in a particular television show.
-
C.
networkOfSeries
Indicates a relationship where multiple series are interconnected or grouped together as part of the same network or collection.
-
D.
hasFictionalShowWithinShow
Indicates that one show contains or features another fictional show within its narrative.
-
E.
airingNetworkOfSeries
chosen
Indicates the television network or channel on which a series is (or was) broadcast.
- 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_69eeeb4e75f08190b14fc91ca4a91488 |
completed | April 27, 2026, 4:51 a.m. |
| NER | Named-entity recognition | batch_69f6383625cc8190aa223d8ef655743c |
completed | May 2, 2026, 5:45 p.m. |
| PD | Predicate disambiguation | batch_69f63709e4848190b5cf322e06b23fb6 |
completed | May 2, 2026, 5:40 p.m. |
Created at: April 27, 2026, 6:29 a.m.