Triple
T21398976
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lily Munster |
E527860
|
entity |
| Predicate | child |
P120
|
FINISHED |
| Object | Eddie Munster |
—
|
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: Eddie Munster | Statement: [Lily Munster, child, Eddie Munster]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Eddie Munster Context triple: [Lily Munster, child, Eddie Munster]
-
A.
Eddie Munster
chosen
Eddie Munster is the young, wolfish son in the comedic monster family of the classic 1960s TV sitcom "The Munsters."
-
B.
Herman Munster
Herman Munster is the lovable, Frankenstein’s-monster-like father of the quirky monster family in the classic 1960s sitcom "The Munsters."
-
C.
Grandpa Munster
Grandpa Munster is the eccentric, vampire grandfather and mad scientist from the classic 1960s TV sitcom "The Munsters."
-
D.
Gomez Addams
Gomez Addams is the eccentric, debonair, and passionately devoted patriarch of the macabre yet loving Addams Family.
-
E.
Marilyn Munster
Marilyn Munster is the attractive, seemingly "normal" teenage niece in the 1960s sitcom *The Munsters*, often played for contrast against her monstrous family.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e0b520ee3c8190abddbee7e37e834c |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69ee62cf3e808190847ad66d2e65f9f2 |
completed | April 26, 2026, 7:09 p.m. |
Created at: April 16, 2026, 5:14 p.m.