Triple
T26917857
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Uncle Scrooge comics |
E677561
|
entity |
| Predicate | firstAppearanceOfSeriesTitle |
P198099
|
FINISHED |
| Object | Four Color #386 |
—
|
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: Four Color #386 | Statement: [Uncle Scrooge comics, firstAppearanceOfSeriesTitle, Four Color #386]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: firstAppearanceOfSeriesTitle Context triple: [Uncle Scrooge comics, firstAppearanceOfSeriesTitle, Four Color #386]
-
A.
firstAppearanceEpisode
Indicates the specific episode in which an entity (such as a character or item) is shown or mentioned for the first time.
-
B.
firstAppearanceEpisodeNumber
Indicates the episode number in which an entity (such as a character or item) first appears.
-
C.
mainSeriesFirstAppearance
Indicates the work or installment in which an entity first appears within the primary or main series continuity.
-
D.
firstAppearanceTV
Indicates the television show or episode in which an entity is depicted or mentioned for the first time.
-
E.
firstAppearanceFranchise
Indicates the franchise in which an entity made its first appearance.
- 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_69eee9bdebc48190ba90a12a63e09c73 |
completed | April 27, 2026, 4:44 a.m. |
| NER | Named-entity recognition | batch_69fecb4d02f881909a9ee97ce98000d5 |
completed | May 9, 2026, 5:51 a.m. |
| PD | Predicate disambiguation | batch_69fec9846c1c8190b317f0711f0755db |
completed | May 9, 2026, 5:43 a.m. |
| PDg | Predicate description generation | batch_69fecb4be24481908bda6197d7fc32f4 |
completed | May 9, 2026, 5:51 a.m. |
Created at: April 27, 2026, 6:05 a.m.