Triple
T31599688
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Carrie Diaries |
E806316
|
entity |
| Predicate | networkOrder |
P174857
|
FINISHED |
| Object | The CW |
—
|
NE NERFINISHED |
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: The CW | Statement: [The Carrie Diaries, networkOrder, The CW]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: networkOrder Context triple: [The Carrie Diaries, networkOrder, The CW]
-
A.
bitOrder
Indicates the ordering or sequence of bits within a binary representation, such as which bit positions are considered first or most significant.
-
B.
endianness
Indicates the ordering of bytes used to represent multi-byte data values in memory or storage.
-
C.
endianess
Indicates the byte order relationship specifying how multi-byte data is arranged in memory or during transmission (e.g., little-endian vs big-endian).
-
D.
representationOrder
Indicates the sequence or hierarchy in which representations of entities are arranged or prioritized relative to one another.
-
E.
endiannessDependent
Indicates that the relationship or behavior varies depending on the byte-order (endianness) used to represent multi-byte data.
- 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_69f348d54ccc8190a03b5df9a2b40b25 |
completed | April 30, 2026, 12:19 p.m. |
| NER | Named-entity recognition | batch_69f6c90790788190a1ed09adc86ed22d |
completed | May 3, 2026, 4:03 a.m. |
| PD | Predicate disambiguation | batch_69f6c3f42fbc8190a06eb1044c9e6094 |
completed | May 3, 2026, 3:41 a.m. |
| PDg | Predicate description generation | batch_69f6c814c26c81908f5c47285129ff2a |
completed | May 3, 2026, 3:59 a.m. |
Created at: April 30, 2026, 10:32 p.m.