Triple
T24591552
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Marissa Cooper |
E608550
|
entity |
| Predicate | writtenOut |
P156471
|
FINISHED |
| Object | 2006 |
—
|
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: 2006 | Statement: [Marissa Cooper, writtenOut, 2006]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: writtenOut Context triple: [Marissa Cooper, writtenOut, 2006]
-
A.
writtenTo
Indicates that something has been addressed or directed in written form to a particular recipient.
-
B.
isWritten
Indicates that a text, document, or content has been created or recorded in written form by an agent.
-
C.
writingOutput
Indicates that one entity produces or generates written content as an output, typically as the result of a writing or text-creation process.
-
D.
writtenToMark
Indicates that something has been written and addressed or directed specifically to Mark.
-
E.
writtenDuring
Indicates that the creation or authorship of something took place within a specified time period or historical event.
- 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_69e2c4cf54248190af7b0c2d9ade9830 |
completed | April 17, 2026, 11:39 p.m. |
| NER | Named-entity recognition | batch_69f2a9db3a9481908c7a59281e2ca994 |
completed | April 30, 2026, 1:01 a.m. |
| PD | Predicate disambiguation | batch_69f2a6c1f07081908edf0b521767e79b |
completed | April 30, 2026, 12:48 a.m. |
| PDg | Predicate description generation | batch_69f2a846c5bc81909ba50cee483bea91 |
completed | April 30, 2026, 12:54 a.m. |
Created at: April 18, 2026, 2:30 a.m.