Triple
T6124232
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | William Calley |
E136555
|
entity |
| Predicate | sentenceServedAs |
P20881
|
FINISHED |
| Object | house arrest |
—
|
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: house arrest | Statement: [William Calley, sentenceServedAs, house arrest]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: sentenceServedAs Context triple: [William Calley, sentenceServedAs, house arrest]
-
A.
served
Indicates that one entity provided a service, assistance, or role-based function to or for another entity.
-
B.
sentenceOf
Indicates that one entity is a sentence that belongs to, is contained in, or is part of another larger text or document.
-
C.
servedWith
Indicates that one item is customarily presented, provided, or consumed together with another as an accompaniment or side.
-
D.
sentencedTo
chosen
Indicates that an authority has officially assigned a specific punishment or penalty to an entity, typically as the outcome of a legal or disciplinary process.
-
E.
sentence
Indicates that one entity is a sentence that expresses, contains, or encodes information about another entity.
- 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_69c0089f851c81909e5e189a617dcff6 |
completed | March 22, 2026, 3:19 p.m. |
| NER | Named-entity recognition | batch_69c05c25976081909e0a40e07dff0b8a |
completed | March 22, 2026, 9:16 p.m. |
| PD | Predicate disambiguation | batch_69c049f9ab3c81909c8ab6466f6a2935 |
completed | March 22, 2026, 7:58 p.m. |
Created at: March 22, 2026, 4:14 p.m.