Triple
T15418324
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Suge Knight |
E369308
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Marion |
E129761
|
NE 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: Marion | Statement: [Suge Knight, givenName, Marion]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Marion Context triple: [Suge Knight, givenName, Marion]
-
A.
Marion
chosen
Marion is a given name used for people of any gender in various cultures, often as a variant of Mary or Marian.
-
B.
Marion
Marion is a neighborhood or village within the town of Southington, Connecticut, known as one of its local residential communities.
-
C.
Marion
Marion is a small historic city in central Alabama known for its role in the civil rights movement and as the home of several longstanding educational institutions.
-
D.
Marion
Marion is a trapeze artist in the German film "Wings of Desire," whose introspective, yearning character becomes central to the story’s exploration of love, loneliness, and human experience.
-
E.
Marion
Marion is a small coastal town in southeastern Massachusetts known for its maritime heritage and picturesque New England character.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69d85a1849f48190bf898068b2806fae |
completed | April 10, 2026, 2:02 a.m. |
| NER | Named-entity recognition | batch_69e03ebce4f48190ba282ecb4fb2f6fa |
completed | April 16, 2026, 1:43 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff1a78f9cc819097a6ff1e0cbdbcf3 |
completed | May 9, 2026, 11:28 a.m. |
Created at: April 10, 2026, 3:20 a.m.