Triple
T34958013
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Naomi Wildman |
E1008170
|
entity |
| Predicate | favoriteHoloprogram |
P166356
|
FINISHED |
| Object | The Adventures of Flotter |
—
|
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: The Adventures of Flotter | Statement: [Naomi Wildman, favoriteHoloprogram, The Adventures of Flotter]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: favoriteHoloprogram Context triple: [Naomi Wildman, favoriteHoloprogram, The Adventures of Flotter]
-
A.
famousProgram
Indicates that a program is widely recognized or well-known, typically for its impact, quality, or popularity.
-
B.
programOf
Indicates that one entity is a program (such as a course of study or curriculum) that is offered, managed, or associated with another entity (such as an institution, department, or organization).
-
C.
featuresFictionalProgram
Indicates that a work includes or presents a fictional program (such as a TV show, software, or in-universe broadcast) as part of its content.
-
D.
favoriteObject
chosen
Indicates that one entity is the preferred or most liked object of another entity.
-
E.
futureProgramme
Indicates that a programme is scheduled to occur at a future time relative to a given reference point.
- 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_69f76dc69564819099e9e78aed6ff0a6 |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_69f78710282c81909146dc0be91e983f |
completed | May 3, 2026, 5:34 p.m. |
| PD | Predicate disambiguation | batch_69f784162134819098413482ef52042f |
completed | May 3, 2026, 5:21 p.m. |
Created at: May 3, 2026, 4 p.m.