Triple
T31230086
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | June Cleaver in Still the Beaver |
E796255
|
entity |
| Predicate | originalSeriesCharacter |
P202568
|
FINISHED |
| Object | June Cleaver |
—
|
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: June Cleaver | Statement: [June Cleaver in Still the Beaver, originalSeriesCharacter, June Cleaver]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: originalSeriesCharacter Context triple: [June Cleaver in Still the Beaver, originalSeriesCharacter, June Cleaver]
-
A.
relatedSeriesCharacter
Indicates that one character is connected to another by appearing in a related or associated series within the same broader narrative universe.
-
B.
notableSeriesCharacter
Indicates that an entity is a significant or well-known character appearing in a particular series.
-
C.
filmSeriesCharacterType
Indicates that a character belongs to or appears within a particular film series, specifying the type or role of that character in the series.
-
D.
formerCharacter
Indicates that an entity was once a character in a work or series but is no longer an active or current character.
-
E.
literarySeriesCharacter
Indicates that a character appears in, is part of, or is associated with a particular literary series.
- 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_69f224da98f88190ab32f690cce5d303 |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_6a009273634c8190b5b9c87053b56760 |
completed | May 10, 2026, 2:13 p.m. |
| PD | Predicate disambiguation | batch_6a0092171230819096e4274dd97e0410 |
completed | May 10, 2026, 2:11 p.m. |
| PDg | Predicate description generation | batch_6a009272afc88190a041b7e16d851599 |
completed | May 10, 2026, 2:13 p.m. |
Created at: April 29, 2026, 9:10 p.m.