Triple
T20391922
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Lieutenant |
E498104
|
entity |
| Predicate | episodeSubject |
P123652
|
FINISHED |
| Object | racial discrimination in the U.S. Marine Corps |
—
|
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: racial discrimination in the U.S. Marine Corps | Statement: [The Lieutenant, episodeSubject, racial discrimination in the U.S. Marine Corps]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: episodeSubject Context triple: [The Lieutenant, episodeSubject, racial discrimination in the U.S. Marine Corps]
-
A.
episodeFocusOf
chosen
Indicates that a specific episode is the primary subject or focus of another entity, such as a discussion, analysis, or reference.
-
B.
episodeTitle
Indicates that a given title string is the name of a specific episode within a series or program.
-
C.
seriesSubject
Indicates that an entity serves as the main subject or focus of a series, such as a sequence of related works or installments.
-
D.
associatedEpisode
Indicates that one entity is linked or connected to a particular episode as its related or relevant installment.
-
E.
episodeSeason
Indicates that an episode belongs to, or is part of, a specific season within a 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_69e0b4a71ebc8190b153a36c738730f4 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e679108b1481909677cf80e8e77e76 |
completed | April 20, 2026, 7:05 p.m. |
| PD | Predicate disambiguation | batch_69e5765d7cb48190adec18d6d1e3d263 |
completed | April 20, 2026, 12:42 a.m. |
Created at: April 16, 2026, 11:28 a.m.