Triple
T11166377
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Need to Know |
E264169
|
entity |
| Predicate | writer |
P1360
|
FINISHED |
| Object | Lukasz Gottwald |
E632664
|
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: Lukasz Gottwald | Statement: [Need to Know, writer, Lukasz Gottwald]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lukasz Gottwald Context triple: [Need to Know, writer, Lukasz Gottwald]
-
A.
Lukasz Gottwald
chosen
Lukasz Gottwald, better known as Dr. Luke, is an American record producer and songwriter renowned for crafting numerous pop hits for major artists in the 2000s and 2010s.
-
B.
Kamil Grosicki
Kamil Grosicki is a Polish professional footballer and winger known for his pace, creativity, and long international career with the Poland national team.
-
C.
Stefan Szczucki
Stefan Szczucki was the husband of Polish writer and World War II resistance activist Zofia Kossak-Szczucka.
-
D.
Pawel Maciwoda
Pawel Maciwoda is a Polish bassist best known for playing with the German hard rock band Scorpions.
-
E.
Filip Wolski
Filip Wolski is a machine learning researcher known for his work at OpenAI, including contributions to reinforcement learning methods such as Proximal Policy Optimization (PPO).
- 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_69d6aa9dafac8190bd90d2c74f661aa7 |
completed | April 8, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69d7e88843cc81909e503f0921c6d297 |
completed | April 9, 2026, 5:57 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e4cc0f84008190b5306323aff4a300 |
completed | April 19, 2026, 12:35 p.m. |
Created at: April 8, 2026, 9:29 p.m.