Triple
T17696370
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Else Heims |
E441182
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Else |
—
|
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: Else | Statement: [Else Heims, givenName, Else]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Else Context triple: [Else Heims, givenName, Else]
-
A.
Else
chosen
Else is a literary work by Norwegian realist author Alexander Kielland, reflecting his critical engagement with 19th-century social and moral issues.
-
B.
Else
Else is a small river in North Rhine-Westphalia, Germany, that flows through the town of Spenge and its surrounding region.
-
C.
If/Then
If/Then is a contemporary Broadway musical that follows a woman’s parallel life paths in New York City, featuring a pop-influenced score and a starring role for Idina Menzel.
-
D.
"If-Then-Else"
"If-Then-Else" is a critically acclaimed episode of the TV series *Person of Interest* that explores artificial intelligence decision-making through a recursive simulation of possible outcomes.
-
E.
Then
"Then" is a romantic country ballad by Brad Paisley that reflects on the deepening love in a long-term relationship.
- 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_69d8b9ea20b48190ace88bb46b01e6a9 |
completed | April 10, 2026, 8:50 a.m. |
| NER | Named-entity recognition | batch_69e47156a8f8819080cc730f4e9bc6ad |
completed | April 19, 2026, 6:08 a.m. |
Created at: April 10, 2026, 10:04 a.m.