Triple
T12455897
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Here's Love |
E297656
|
entity |
| Predicate | subjectMatter |
P450
|
FINISHED |
| Object | Santa Claus |
E5879
|
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: Santa Claus | Statement: [Here's Love, subjectMatter, Santa Claus]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Santa Claus Context triple: [Here's Love, subjectMatter, Santa Claus]
-
A.
Santa Claus
chosen
Santa Claus is a legendary, gift-giving figure in Western culture typically depicted as a jolly, bearded man in a red suit who delivers presents to children on Christmas Eve.
-
B.
St. Niklaus
St. Niklaus is a locality within the Swiss municipality of Feldbrunnen-St. Niklaus in the canton of Solothurn.
-
C.
Rudolph
Rudolph is a surname of German origin borne by various notable individuals and families.
-
D.
Rudolph
Rudolph was an Austrian archduke of the Habsburg dynasty, best known as a patron of the arts and a close friend and student of composer Ludwig van Beethoven.
-
E.
Rudolph
Rudolph is the full given name of Rudy Giuliani, the former mayor of New York City and prominent American political figure.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69d6ada166c48190b902972cd2408fa3 |
completed | April 8, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69d94da2a3cc81908de5a85257627fe2 |
completed | April 10, 2026, 7:21 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f63f190c788190adceaab8117d52a6 |
completed | May 2, 2026, 6:14 p.m. |
Created at: April 8, 2026, 9:56 p.m.