Triple
T10888267
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bob Ewell |
E257107
|
entity |
| Predicate | testifiesThat |
P7873
|
FINISHED |
| Object | Tom Robinson assaulted Mayella Ewell |
—
|
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: Tom Robinson assaulted Mayella Ewell | Statement: [Bob Ewell, testifiesThat, Tom Robinson assaulted Mayella Ewell]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: testifiesThat Context triple: [Bob Ewell, testifiesThat, Tom Robinson assaulted Mayella Ewell]
-
A.
establishedThat
Indicates that one entity has formally determined, demonstrated, or confirmed that a particular fact, condition, or relationship holds for another entity or situation.
-
B.
hasTestimony
chosen
Indicates that an entity provides, contains, or is associated with a formal statement or account (testimony) about another entity or event.
-
C.
maintainsThat
Indicates that one entity asserts, claims, or upholds a particular proposition, belief, or statement about something.
-
D.
gaveTestimonyIn
Indicates that one entity provided formal testimony or a statement in an official proceeding, event, or context associated with another entity.
-
E.
testedFor
Indicates that an entity has been examined or analyzed to determine the presence, absence, or level of another specified entity or condition.
- 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_69d6aa848804819081b2713ca0bedf06 |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d75202b7248190adeb5780fc5b9199 |
completed | April 9, 2026, 7:15 a.m. |
| PD | Predicate disambiguation | batch_69d70d3943c881908895397eccc3e415 |
completed | April 9, 2026, 2:21 a.m. |
Created at: April 8, 2026, 9:21 p.m.