Triple
T29096817
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Misbehavers |
E735027
|
entity |
| Predicate | includedInAnthologyWith |
P81123
|
FINISHED |
| Object | The Missing Ingredient |
—
|
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 Missing Ingredient | Statement: [The Misbehavers, includedInAnthologyWith, The Missing Ingredient]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: includedInAnthologyWith Context triple: [The Misbehavers, includedInAnthologyWith, The Missing Ingredient]
-
A.
isAnthologySegmentOf
chosen
Indicates that one work or segment is a constituent part or episode within a larger anthology work.
-
B.
numberInAnthology
Indicates the specific position or sequence number that a work occupies within an anthology.
-
C.
hasPartInWrittenWork
Indicates that an entity participates in or contributes to the creation of a written work.
-
D.
includedInBook
Indicates that something (such as a section, chapter, or content item) is contained within or forms part of a specific book.
-
E.
notableAnthologyEdited
Indicates that an entity has served as the editor of a notable anthology involving 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_69f05b0ed66481908f2e864fa550d2f1 |
completed | April 28, 2026, 7 a.m. |
| NER | Named-entity recognition | batch_69ff79e7206c8190a809b5f2a6261378 |
completed | May 9, 2026, 6:16 p.m. |
| PD | Predicate disambiguation | batch_69ff798356b881908645074fb3a96517 |
completed | May 9, 2026, 6:14 p.m. |
Created at: April 28, 2026, 11:09 a.m.