Triple
T7270706
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fred M. Vinson |
E161094
|
entity |
| Predicate | ordinalNumberAsChiefJustice |
P76054
|
FINISHED |
| Object | 13 |
—
|
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: 13 | Statement: [Fred M. Vinson, ordinalNumberAsChiefJustice, 13]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: ordinalNumberAsChiefJustice Context triple: [Fred M. Vinson, ordinalNumberAsChiefJustice, 13]
-
A.
numberOfChiefJustices
Indicates the total count of individuals who have held the position of chief justice for a given entity or jurisdiction.
-
B.
chiefJusticeSinceYear
Indicates that an entity has held the position of chief justice starting from a specified year.
-
C.
numberOfAssociateJustices
Indicates the total count of associate justices associated with a given judicial body or court.
-
D.
chiefJustice
Indicates that one entity serves as the chief justice (the highest-ranking judicial officer) of another entity, such as a court or jurisdiction.
-
E.
numberOfSupremeCourtJustices
Indicates the total count of individuals serving as justices on a specified Supreme Court.
- 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_69c6885181008190b419040e22939c7c |
completed | March 27, 2026, 1:38 p.m. |
| NER | Named-entity recognition | batch_69c6eb088dac8190b353f6ea3d686025 |
completed | March 27, 2026, 8:39 p.m. |
| PD | Predicate disambiguation | batch_69c6e76876608190ac4652bc7153302e |
completed | March 27, 2026, 8:24 p.m. |
| PDg | Predicate description generation | batch_69c6eb06acd881908a1735fbbbd5756f |
completed | March 27, 2026, 8:39 p.m. |
Created at: March 27, 2026, 2:58 p.m.