Triple
T38052154
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Harriet Conklin |
E949792
|
entity |
| Predicate | radioSeries |
P42037
|
FINISHED |
| Object | Our Miss Brooks (radio series) |
—
|
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: Our Miss Brooks (radio series) | Statement: [Harriet Conklin, radioSeries, Our Miss Brooks (radio series)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: radioSeries Context triple: [Harriet Conklin, radioSeries, Our Miss Brooks (radio series)]
-
A.
hasRadioSeries
chosen
Indicates that one entity is associated with, or is the subject of, a radio series based on it or about it.
-
B.
narrativeSeries
Indicates that one narrative work belongs to, or is part of, an ordered series of related narratives.
-
C.
animationSeries
Indicates that one entity is an animation series in which the other entity appears, participates, or is otherwise featured.
-
D.
radioSeriesStartTime
Indicates the time at which a radio series (or a specific episode of it) begins broadcasting.
-
E.
hostsSeries
Indicates that an entity regularly presents, moderates, or leads a particular series (such as a show, event, or program).
- 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_69f76f000cf081908c11fb5443b392e6 |
completed | May 3, 2026, 3:51 p.m. |
| NER | Named-entity recognition | batch_69fc44c7e73c819082d4fc1900fb9632 |
completed | May 7, 2026, 7:52 a.m. |
| PD | Predicate disambiguation | batch_69fbc8efffbc8190a139798ad1880526 |
completed | May 6, 2026, 11:04 p.m. |
Created at: May 3, 2026, 4:20 p.m.