Triple
T7966877
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Act |
E185226
|
entity |
| Predicate | formedBy |
P972
|
FINISHED |
| Object | Thomas Leer |
E703455
|
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: Thomas Leer | Statement: [Act, formedBy, Thomas Leer]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Thomas Leer Context triple: [Act, formedBy, Thomas Leer]
-
A.
Thomas Leer
chosen
Thomas Leer is a Scottish musician and songwriter best known as a pioneering figure in experimental synth-pop and electronic music from the late 1970s and 1980s.
-
B.
Roy Leenig
Roy Leenig was a prominent American college basketball coach best known for his successful tenure leading the Holy Cross Crusaders men's basketball program.
-
C.
Fred Schuler
Fred Schuler is a cinematographer best known for his work on films such as the 1980 comedy "Stir Crazy."
-
D.
Tom Schaul
Tom Schaul is a machine learning researcher known for his contributions to deep reinforcement learning, including co-developing the Dueling DQN architecture.
-
E.
Eric Marienthal
Eric Marienthal is an American contemporary jazz saxophonist known for his work in jazz fusion and smooth jazz, including prominent collaborations with leading artists and bands.
- 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_69ca8297699481909b75a405f01e03af |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cb3ba3f53c8190a0e9b3de2f1b9645 |
completed | March 31, 2026, 3:12 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cc566afad88190b53f228d836619de |
completed | March 31, 2026, 11:19 p.m. |
Created at: March 30, 2026, 5:13 p.m.