Triple
T15654183
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sindri |
E376387
|
entity |
| Predicate | collaboratesWith |
P37
|
FINISHED |
| Object | Brokk |
E1140903
|
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: Brokk | Statement: [Sindri, collaboratesWith, Brokk]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Brokk Context triple: [Sindri, collaboratesWith, Brokk]
-
A.
Brokk
chosen
Brokk is a master dwarf craftsman from Norse mythology renowned for forging powerful and magical artifacts for the gods.
-
B.
Brok
Brok is a small historic town in east-central Poland, situated in the Masovian Voivodeship and known for its scenic location by the Bug River.
-
C.
Broten
Broten is a surname most notably associated with American ice hockey player Neal Broten, a Stanley Cup champion and Olympic gold medalist.
-
D.
Bronko
Bronko is the nickname of Bronko Nagurski, a legendary National Football League fullback and professional wrestler known for his power and toughness in the 1930s.
-
E.
Broto
Broto is a small mountain village in the Spanish Pyrenees that serves as a gateway and service hub for visitors to Ordesa y Monte Perdido National Park.
- 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_69d85cd1564c8190991adda63bfab4b0 |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69e04ef089948190902ec22f4d7bc932 |
completed | April 16, 2026, 2:52 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff6797954c8190ac05ee3db634efa7 |
completed | May 9, 2026, 4:57 p.m. |
Created at: April 10, 2026, 4:15 a.m.