Triple
T3378550
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cucumber |
E71123
|
entity |
| Predicate | companionWebSeries |
P22642
|
FINISHED |
| Object | Tofu |
—
|
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: Tofu | Statement: [Cucumber, companionWebSeries, Tofu]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: companionWebSeries Context triple: [Cucumber, companionWebSeries, Tofu]
-
A.
narrativeSeries
Indicates that one narrative work belongs to, or is part of, an ordered series of related narratives.
-
B.
companionOf
chosen
Indicates that one entity serves as a companion or partner to another, typically accompanying or being closely associated with them.
-
C.
viewsCompanions
Indicates that an entity observes or looks at its companions or associates.
-
D.
networkOfSeries
Indicates a relationship where multiple series are interconnected or grouped together as part of the same network or collection.
-
E.
sisterShow
Indicates that two shows are related as sister shows, typically sharing common origins, networks, or production ties without one being derived from the other.
- 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_69ad85a7f80c8190a05e43013f298942 |
completed | March 8, 2026, 2:20 p.m. |
| NER | Named-entity recognition | batch_69adb2eacb5c81908071a1dacc9a897a |
completed | March 8, 2026, 5:33 p.m. |
| PD | Predicate disambiguation | batch_69ada434bae48190a77ea37f9274ad8f |
completed | March 8, 2026, 4:30 p.m. |
Created at: March 8, 2026, 3:14 p.m.