Triple
T22416877
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lars Herman Gyllenhaal |
E554144
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Lars |
—
|
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: Lars | Statement: [Lars Herman Gyllenhaal, givenName, Lars]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lars Context triple: [Lars Herman Gyllenhaal, givenName, Lars]
-
A.
Lars
chosen
Lars is a masculine given name of Scandinavian origin, commonly used in countries such as Norway, Sweden, and Denmark.
-
B.
Lasse
Lasse is a masculine given name of Scandinavian origin, particularly common in Finland and Sweden.
-
C.
Al Larsen
Al Larsen is an American musician best known as a member of the indie rock band Some Velvet Sidewalk, active in the Pacific Northwest underground music scene.
-
D.
Sven
Sven is a charismatic puffin in the animated film "Happy Feet Two," admired by other characters for his apparent ability to fly and his inspirational persona.
-
E.
Sven
Sven is the lovable reindeer companion in Disney's animated film "Frozen," known for his close bond with Kristoff and his expressive, dog-like personality.
- 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_69e11e4e6ce8819085a1e06d886bf21c |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f15946cd2c8190bdec0348de6ebcb9 |
completed | April 29, 2026, 1:05 a.m. |
Created at: April 16, 2026, 8:46 p.m.