Triple
T33803777
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Us and Ours (reprise) |
E866319
|
entity |
| Predicate | lengthComparedToOriginal |
P50260
|
FINISHED |
| Object | shorter |
—
|
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: shorter | Statement: [Us and Ours (reprise), lengthComparedToOriginal, shorter]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: lengthComparedToOriginal Context triple: [Us and Ours (reprise), lengthComparedToOriginal, shorter]
-
A.
estimatedOriginalLength
Indicates the approximated or inferred length that something originally had before any changes, damage, or loss.
-
B.
baseLengthOriginal
Indicates the original or initial length value of a base element before any changes or transformations.
-
C.
massComparedToPredecessor
Indicates that an entity’s mass is being compared to the mass of its immediate predecessor, typically expressing how it has increased, decreased, or remained the same.
-
D.
length
Indicates a measurement relationship where a value specifies how long something is from one end to the other.
-
E.
relativeLength
chosen
Indicates a comparative relationship between entities based on how long they are relative to one another.
- 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_69f3499057fc81909d862b1309a3bd71 |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_69f6ffbd04e081909fffd6476f43f9b8 |
completed | May 3, 2026, 7:56 a.m. |
| PD | Predicate disambiguation | batch_69f6fc59518081908b0275f47721d561 |
completed | May 3, 2026, 7:42 a.m. |
Created at: May 1, 2026, 1:46 a.m.