Triple
T33017836
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Yuming |
E844823
|
entity |
| Predicate | nameSyllableCount |
P6574
|
FINISHED |
| Object | two syllables |
—
|
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: two syllables | Statement: [Yuming, nameSyllableCount, two syllables]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: nameSyllableCount Context triple: [Yuming, nameSyllableCount, two syllables]
-
A.
hasSyllablesForNames
Indicates that there is an association between names and the syllables that compose or are used to form those names.
-
B.
hasSyllableCount
chosen
Indicates that one entity (typically a word or phrase) possesses a specific number of syllables given by the other entity.
-
C.
languageOfSyllables
Indicates a relationship where a language is characterized or defined by the specific set or system of syllables it uses.
-
D.
nameLengthInWords
Indicates the number of words that make up an entity’s name.
-
E.
numberOfNames
Indicates the count of distinct names associated with a given entity.
- 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_69f3494f3b4081909dccf2af34372a26 |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_69f6d74b20a48190900dda1014cc13a8 |
completed | May 3, 2026, 5:04 a.m. |
| PD | Predicate disambiguation | batch_69f6d26f27dc8190ae426a3e1573933e |
completed | May 3, 2026, 4:43 a.m. |
Created at: May 1, 2026, 1:23 a.m.