Triple
T3785381
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Lizzie Borden Chronicles |
E85516
|
entity |
| Predicate | firstAiredInYear |
P10224
|
FINISHED |
| Object | 2015 |
—
|
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: 2015 | Statement: [The Lizzie Borden Chronicles, firstAiredInYear, 2015]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: firstAiredInYear Context triple: [The Lizzie Borden Chronicles, firstAiredInYear, 2015]
-
A.
firstAired
Indicates the date on which something (such as a show, episode, or broadcast content) was first aired or publicly transmitted.
-
B.
firstEpisodeSettingYear
Indicates the calendar year in which the first episode of a series or show is set.
-
C.
firstAiredWith
Indicates that one entity was initially broadcast or released at the same time as another entity.
-
D.
firstSeriesYear
chosen
Indicates the year in which a series (such as a TV show, book series, or sports league season) first began or was initially released.
-
E.
firstAiredWithSeries
Indicates that an episode or installment was originally broadcast as part of the initial airing of a particular series.
- 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_69aed937fa8881908208ef3801060826 |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aee634c6ac819099653c660c286746 |
completed | March 9, 2026, 3:24 p.m. |
| PD | Predicate disambiguation | batch_69aee3d3c92c819081d9d5c45ef37a5d |
completed | March 9, 2026, 3:14 p.m. |
Created at: March 9, 2026, 3:13 p.m.