Triple
T25193863
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Walking Dead #19 |
E630949
|
entity |
| Predicate | readingOrderFollows |
P125022
|
FINISHED |
| Object | The Walking Dead #18 |
—
|
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 Walking Dead #18 | Statement: [The Walking Dead #19, readingOrderFollows, The Walking Dead #18]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: readingOrderFollows Context triple: [The Walking Dead #19, readingOrderFollows, The Walking Dead #18]
-
A.
readingOrder
Indicates the sequential order in which items should be read or interpreted.
-
B.
followsOrderFrom
Indicates that one entity complies with and acts according to the instructions or commands issued by another entity.
-
C.
subsequentOrder
Indicates that one order occurs after or follows another order in sequence.
-
D.
followsIn
chosen
Indicates that one entity comes after or succeeds another in a sequence, order, or progression.
-
E.
followsNumbering
Indicates that one entity adheres to or continues the numbering sequence established by another 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_69e75a8a6d088190ba1e82a4345225e7 |
completed | April 21, 2026, 11:07 a.m. |
| NER | Named-entity recognition | batch_69f46e1206f88190bfacdc420027c354 |
completed | May 1, 2026, 9:10 a.m. |
| PD | Predicate disambiguation | batch_69f44d8043b081908bbffd7f044b4f26 |
completed | May 1, 2026, 6:51 a.m. |
Created at: April 21, 2026, 12:45 p.m.