Triple
T1439859
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | State of Tennessee v. John Thomas Scopes |
E31044
|
entity |
| Predicate | appealDate |
P29329
|
FINISHED |
| Object | 1927 |
—
|
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: 1927 | Statement: [State of Tennessee v. John Thomas Scopes, appealDate, 1927]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: appealDate Context triple: [State of Tennessee v. John Thomas Scopes, appealDate, 1927]
-
A.
arguedDate
Indicates the date on which an argument, debate, or legal case was formally presented or argued.
-
B.
decisionDate
Indicates the date on which a specific decision was formally made or finalized.
-
C.
appointedOn
Indicates the specific date or time at which an entity is formally assigned or designated to a role, position, or responsibility.
-
D.
trialDate
Indicates the specific calendar date on which a legal trial or court proceeding is scheduled or took place.
-
E.
dateOfSubmission
Indicates the specific date on which something (such as a document, application, or assignment) was formally submitted.
- 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_69a4991633388190a4d61b5a98aa407a |
completed | March 1, 2026, 7:52 p.m. |
| NER | Named-entity recognition | batch_69a4c5ff8dbc81909eafcfc9f2260a22 |
completed | March 1, 2026, 11:04 p.m. |
| PD | Predicate disambiguation | batch_69a4c478f65481909ee716791c663491 |
completed | March 1, 2026, 10:58 p.m. |
| PDg | Predicate description generation | batch_69a4c5fd2c5c81909283b7a74aff89b7 |
completed | March 1, 2026, 11:04 p.m. |
Created at: March 1, 2026, 8 p.m.