Triple
T37812568
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Honey-Mousers |
E942684
|
entity |
| Predicate | featuresParodyOfCharacter |
P204400
|
FINISHED |
| Object | Ralph Kramden |
E816653
|
NE 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: Ralph Kramden | Statement: [The Honey-Mousers, featuresParodyOfCharacter, Ralph Kramden]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: featuresParodyOfCharacter Context triple: [The Honey-Mousers, featuresParodyOfCharacter, Ralph Kramden]
-
A.
featuresReturningCharacterFrom
Indicates that a work includes the reappearance of a character who previously appeared in the referenced source work.
-
B.
fictionalCharacterFrom
Indicates that a fictional character originates from, or is created within, a particular work, universe, or source.
-
C.
cultCharacter
Indicates that one entity is a character who is venerated, worshipped, or centrally revered within the cult associated with the other entity.
-
D.
petCharacter
Indicates that one entity is a pet belonging to, cared for by, or closely associated with another entity as its owner or companion.
-
E.
hasFictionalAlterEgoOf
Indicates that one entity is the fictional alter ego, persona, or alternate identity of another entity.
- F. None of above. chosen
Provenance (5 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_69f76ee8104c8190ab17133ccd8f86e6 |
completed | May 3, 2026, 3:51 p.m. |
| NER | Named-entity recognition | batch_6a037cae084081909004d77514c5f286 |
completed | May 12, 2026, 7:17 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a40f193dfe08190b9f90b61e9fc2492 |
completed | June 28, 2026, 10:04 a.m. |
| PD | Predicate disambiguation | batch_6a037a1772e48190ba738c6d11b321e2 |
completed | May 12, 2026, 7:05 p.m. |
| PDg | Predicate description generation | batch_6a037c84ecbc81908232e5215355f43b |
completed | May 12, 2026, 7:16 p.m. |
Created at: May 3, 2026, 4:19 p.m.