Triple
T8385443
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Max Da Costa |
E197806
|
entity |
| Predicate | ally |
P4662
|
FINISHED |
| Object | Frey |
E361905
|
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: Frey | Statement: [Max Da Costa, ally, Frey]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Frey Context triple: [Max Da Costa, ally, Frey]
-
A.
Frey
Frey is the central protagonist of the game Elysium, around whom the story’s main events and character development revolve.
-
B.
Frey
chosen
Frey is a Norse god associated with fertility, prosperity, and fair weather, often linked to kingship and peace in Norse mythology.
-
C.
Freyd
Freyd is Peter Freyd, an American mathematician known for his influential work in category theory and contributions to knot theory.
-
D.
Freisa
Freisa is a red Italian wine grape variety from the Piedmont region, known for producing tannic, often slightly sparkling wines with vibrant acidity and red berry aromas.
-
E.
Freuchie
Freuchie is a small village in the Kingdom of Fife, Scotland, known for its rural character and historic cricket club.
- 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_69ca82f749388190bffbea6dfb509016 |
completed | March 30, 2026, 2:04 p.m. |
| NER | Named-entity recognition | batch_69cb80e03eb08190a458c9caa0524e0f |
completed | March 31, 2026, 8:08 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cde8312be48190bd5896adc8bb4e95 |
completed | April 2, 2026, 3:53 a.m. |
Created at: March 30, 2026, 6:02 p.m.