Triple
T30046278
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Howard Barish |
E763461
|
entity |
| Predicate | 13th |
P168386
|
FINISHED |
| Object | is a documentary about mass incarceration in the United States |
—
|
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: is a documentary about mass incarceration in the United States | Statement: [Howard Barish, 13th, is a documentary about mass incarceration in the United States]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: 13th Context triple: [Howard Barish, 13th, is a documentary about mass incarceration in the United States]
-
A.
محاكمة
Indicates that a legal trial or judicial proceeding is being conducted involving the entities.
-
B.
従軍紛争
Indicates participation in or involvement with a military conflict or war.
-
C.
numberOfEnslaved
Indicates the quantity of individuals who were held in a state of enslavement in relation to a given entity or context.
-
D.
الجيل
Indicates a generational relationship, linking entities as belonging to the same generation or specifying that one entity is a particular generation relative to another.
-
E.
سبب الأهمية التاريخية
Indicates that something serves as the reason or basis for another thing’s historical significance.
- 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_69f22470a89c8190be7273297c0e0d19 |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_69f67a12ee4881908418a2814ac05db8 |
completed | May 2, 2026, 10:26 p.m. |
| PD | Predicate disambiguation | batch_69f673c664f08190b4d66cdc305e10db |
completed | May 2, 2026, 9:59 p.m. |
| PDg | Predicate description generation | batch_69f6749f205c81909d1aacf462912eee |
completed | May 2, 2026, 10:03 p.m. |
Created at: April 29, 2026, 6:54 p.m.