Triple
T12430244
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | James Heath |
E297007
|
entity |
| Predicate | nameLengthInWords |
P104890
|
FINISHED |
| Object | 2 |
—
|
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: 2 | Statement: [James Heath, nameLengthInWords, 2]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: nameLengthInWords Context triple: [James Heath, nameLengthInWords, 2]
-
A.
lengthInWords
Indicates the number of words that make up the length of something, typically a text or expression.
-
B.
wordLength
Indicates that there is a relationship specifying the number of characters (length) in a given word.
-
C.
nameLengthInKanji
Indicates the number of kanji characters used in an entity’s name.
-
D.
wordLengthCategory
Indicates the categorical classification of a word based on its length (e.g., short, medium, long).
-
E.
typicalNameLength
Indicates the usual or characteristic number of characters in the names of entities in a given context.
- 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_69d6ada0640c81908c061d7fb3d47786 |
completed | April 8, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69d94df948308190ace333230a4a3b38 |
completed | April 10, 2026, 7:22 p.m. |
| PD | Predicate disambiguation | batch_69d94d391c548190996a8c698357f273 |
completed | April 10, 2026, 7:19 p.m. |
| PDg | Predicate description generation | batch_69d94df652cc8190a1d2d685fa87cf98 |
completed | April 10, 2026, 7:22 p.m. |
Created at: April 8, 2026, 9:55 p.m.