Triple
T1204232
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Booth's Theatre |
E25850
|
entity |
| Predicate | financialOutcome |
P2313
|
FINISHED |
| Object | financial failure for Edwin Booth |
—
|
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: financial failure for Edwin Booth | Statement: [Booth's Theatre, financialOutcome, financial failure for Edwin Booth]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: financialOutcome Context triple: [Booth's Theatre, financialOutcome, financial failure for Edwin Booth]
-
A.
economicGoal
Indicates that an entity has a targeted economic outcome or objective it aims to achieve.
-
B.
funds
Indicates that one entity provides financial resources or monetary support to another entity or activity.
-
C.
economicAspect
chosen
Indicates that something is related to, characterized by, or has implications for economic factors, conditions, or outcomes.
-
D.
netIncome
Indicates the financial result of an entity’s operations over a period, calculated as total revenues minus all expenses, taxes, and other deductions.
-
E.
financeMinister
Indicates that one entity serves as the finance minister (or equivalent chief financial/government budget official) of another entity, typically a country or jurisdiction.
- 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_69a4942b30f08190a91c60573e16b5ef |
completed | March 1, 2026, 7:31 p.m. |
| NER | Named-entity recognition | batch_69a4bdbf94188190991f63a84cc76b8a |
completed | March 1, 2026, 10:29 p.m. |
| PD | Predicate disambiguation | batch_69a4bb5ed2b88190aab992913957e1cf |
completed | March 1, 2026, 10:19 p.m. |
Created at: March 1, 2026, 7:46 p.m.