Triple
T36785015
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mel |
E908880
|
entity |
| Predicate | nameLengthComparedToMelissa |
P26903
|
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: [Mel, nameLengthComparedToMelissa, shorter]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: nameLengthComparedToMelissa Context triple: [Mel, nameLengthComparedToMelissa, shorter]
-
A.
nameLengthInWords
Indicates the number of words that make up an entity’s name.
-
B.
neckLengthComparedTo
Indicates a comparison of the length of one entity’s neck relative to another entity’s neck.
-
C.
hasNameLengthCategory
chosen
Indicates that an entity is associated with a classification describing the length of its name (e.g., short, medium, long).
-
D.
nemontemiLength
Indicates the length or duration associated with the nemontemi period (the extra or intercalary days) in a calendar cycle.
-
E.
typicalNameLength
Indicates the usual or characteristic number of characters in the names of entities in a given context.
- 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_69f76e7a937c81909ed7359641e670f6 |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_69f7ca93bd0481909d6eee9e950001a1 |
completed | May 3, 2026, 10:22 p.m. |
| PD | Predicate disambiguation | batch_69f7c89b528c8190bf80b230fc7c7108 |
completed | May 3, 2026, 10:13 p.m. |
Created at: May 3, 2026, 4:12 p.m.