Triple
T8336382
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Avon Barksdale |
E195796
|
entity |
| Predicate | seasonAppearance |
P82163
|
FINISHED |
| Object | Season 1 of The Wire |
—
|
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: Season 1 of The Wire | Statement: [Avon Barksdale, seasonAppearance, Season 1 of The Wire]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: seasonAppearance Context triple: [Avon Barksdale, seasonAppearance, Season 1 of The Wire]
-
A.
seasonNumber
Indicates the ordinal position of a season within a series or sequence of seasons.
-
B.
seasonNumberInYear
Indicates the specific ordinal position of a season within a given year.
-
C.
seasonCountDetail
Indicates the specific number of seasons associated with something, often including additional contextual details about that season count.
-
D.
seasonDebut
Indicates the event or time at which an entity (such as a person, show, or team) first appears or begins participating in a particular season.
-
E.
sportNumberOfAppearances
Indicates the total number of times an entity has participated in or appeared in a particular sport or sporting event.
- F. None of above. chosen
Provenance (4 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_69ca82ecbdc481908a55cad8ca062d88 |
completed | March 30, 2026, 2:04 p.m. |
| NER | Named-entity recognition | batch_69cb7fd3fc80819097b326119107ad4d |
completed | March 31, 2026, 8:03 a.m. |
| PD | Predicate disambiguation | batch_69cb70c3231c81909e3d463192c9de22 |
completed | March 31, 2026, 6:59 a.m. |
| PDg | Predicate description generation | batch_69cb76d823b08190a54fadb50660cda5 |
completed | March 31, 2026, 7:25 a.m. |
Created at: March 30, 2026, 5:57 p.m.