Triple
T33491285
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | John W. Davis |
E857744
|
entity |
| Predicate | numberOfArgumentsBeforeUSSupremeCourt |
P204093
|
FINISHED |
| Object | more than 100 |
—
|
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: more than 100 | Statement: [John W. Davis, numberOfArgumentsBeforeUSSupremeCourt, more than 100]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: numberOfArgumentsBeforeUSSupremeCourt Context triple: [John W. Davis, numberOfArgumentsBeforeUSSupremeCourt, more than 100]
-
A.
yearArguedBeforeSupremeCourt
Indicates the specific year in which a case was argued before the Supreme Court.
-
B.
numberOfSupremeCourtJustices
Indicates the total count of individuals serving as justices on a specified Supreme Court.
-
C.
majorityJusticesCount
Indicates the number of justices whose votes form the majority in a judicial decision.
-
D.
minimumNumberOfJustices
Indicates the smallest number of justices required for a court or judicial body to validly conduct its proceedings or make decisions.
-
E.
numberOfAssociateJustices
Indicates the total count of associate justices associated with a given judicial body or 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_69f3497547608190a1a0f2365fb713ee |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_6a03213d35788190bdf04e19625b4060 |
completed | May 12, 2026, 12:46 p.m. |
| PD | Predicate disambiguation | batch_6a031ea131d48190ab0fecb48b8e2205 |
completed | May 12, 2026, 12:35 p.m. |
| PDg | Predicate description generation | batch_6a03213c1e10819099738cd1faeab8bb |
completed | May 12, 2026, 12:46 p.m. |
Created at: May 1, 2026, 1:38 a.m.