Triple
T27937592
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tiny Tim |
E700653
|
entity |
| Predicate | ifScroogeChanges |
P163983
|
FINISHED |
| Object | survives and thrives |
—
|
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: survives and thrives | Statement: [Tiny Tim, ifScroogeChanges, survives and thrives]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: ifScroogeChanges Context triple: [Tiny Tim, ifScroogeChanges, survives and thrives]
-
A.
ifScroogeDoesNotChange
Indicates that a specific negative outcome or consequence will occur in the event that Scrooge does not change his behavior or attitude.
-
B.
changesEvery
Indicates that one entity undergoes a change whenever or each time another specified condition, event, or entity changes.
-
C.
isRegularChange
Indicates that a change occurs with consistent, recurring frequency or pattern over time.
-
D.
changesWith
Indicates that one entity varies or is modified in response to changes in another entity.
-
E.
limitsOnChange
Indicates that there are constraints or restrictions placed on how much or in what ways something may be altered or modified.
- 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_69ef6a5028108190a14696d9821dde49 |
completed | April 27, 2026, 1:53 p.m. |
| NER | Named-entity recognition | batch_69f6416fbf4081909b0913c337927fc4 |
completed | May 2, 2026, 6:24 p.m. |
| PD | Predicate disambiguation | batch_69f63c6895f0819088655277e45859a8 |
completed | May 2, 2026, 6:03 p.m. |
| PDg | Predicate description generation | batch_69f63fd4f7448190930c723ba7cfce62 |
completed | May 2, 2026, 6:17 p.m. |
Created at: April 27, 2026, 7:14 p.m.