Triple
T35845689
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | JoJo singles chronology |
E1036200
|
entity |
| Predicate | hasEarliestSingle |
P87994
|
FINISHED |
| Object | Leave (Get Out) |
—
|
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: Leave (Get Out) | Statement: [JoJo singles chronology, hasEarliestSingle, Leave (Get Out)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasEarliestSingle Context triple: [JoJo singles chronology, hasEarliestSingle, Leave (Get Out)]
-
A.
isEarliestAgeOf
Indicates that one value represents the minimum or first age at which a specified condition, event, or state occurs for an entity.
-
B.
hasOldestUnit
Indicates that one entity possesses or is associated with another entity that is the oldest unit within a specified group or hierarchy.
-
C.
earliestDate
Indicates the earliest point in time at which an associated event, state, or relationship is considered to begin or be valid.
-
D.
earliestOf
chosen
Indicates that one entity occurs or is positioned earlier in time or order than all other entities in a given set.
-
E.
hasEarliestMajorCorpus
Indicates that one entity is associated with the earliest significant or primary body of work (major corpus) relative to other comparable entities.
- 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_69f76e1a29e8819088280f26096aeb55 |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_69f7aa3883d48190b05e3d2da7a017ae |
completed | May 3, 2026, 8:04 p.m. |
| PD | Predicate disambiguation | batch_69f7a8d435288190b30b1991fb003121 |
completed | May 3, 2026, 7:58 p.m. |
Created at: May 3, 2026, 4:06 p.m.