Triple
T8441332
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Harley Quinn |
E199356
|
entity |
| Predicate | comicDebutYear |
P83378
|
FINISHED |
| Object | 1993 |
—
|
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: 1993 | Statement: [Harley Quinn, comicDebutYear, 1993]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: comicDebutYear Context triple: [Harley Quinn, comicDebutYear, 1993]
-
A.
comicStripDebutYear
Indicates the year in which a comic strip was first published or debuted.
-
B.
firstAppearanceInComicsIssue
Indicates the specific comic book issue in which an entity (such as a character or item) is depicted for the first time.
-
C.
periodicalDebut
Indicates the time or event at which a periodical (such as a magazine, journal, or newspaper) is first published or released.
-
D.
characterFirstAppearanceInThisPortrayal
Indicates that this is the first time the character appears in the specific portrayal or adaptation being referenced.
-
E.
seriesDebut
Indicates the first appearance or initial release of a series in which the subject entity is introduced.
- 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_69ca8314cd6c8190a6b8c2a1096e18f3 |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cbe30fba4081908bfdef3faf5baceb |
completed | March 31, 2026, 3:06 p.m. |
| PD | Predicate disambiguation | batch_69cbd0f5a3648190beb53a139a2d5482 |
completed | March 31, 2026, 1:49 p.m. |
| PDg | Predicate description generation | batch_69cbe30c2d088190b4cb89adb4e88273 |
completed | March 31, 2026, 3:06 p.m. |
Created at: March 30, 2026, 6:08 p.m.