Triple
T9425770
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Time |
E227259
|
entity |
| Predicate | hasMember |
P10
|
FINISHED |
| Object | Monte Moir |
E800151
|
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: Monte Moir | Statement: [The Time, hasMember, Monte Moir]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Monte Moir Context triple: [The Time, hasMember, Monte Moir]
-
A.
Monte Moir
chosen
Monte Moir is an American songwriter, producer, and musician best known for his work with the Minneapolis funk band The Time and for writing and producing hits in the 1980s R&B scene.
-
B.
Monte Renoso
Monte Renoso is a prominent mountain in southern Corsica, France, known for its rugged terrain and scenic alpine landscapes.
-
C.
Mount Oros
Mount Oros is the highest mountain on the Greek island of Aegina, known for its panoramic views and historical religious sites.
-
D.
Mount Cereme
Mount Cereme is a prominent stratovolcano in West Java, Indonesia, known as the highest peak in the province and a popular destination for hiking and nature tourism.
-
E.
Monte Beragon
Monte Beragon is a charming but morally dubious playboy and love interest in the 1945 film noir "Mildred Pierce," whose relationship with the title character contributes to her downfall.
- 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_69ca8436ba308190903e470776d2d893 |
completed | March 30, 2026, 2:09 p.m. |
| NER | Named-entity recognition | batch_69cd7c908738819081df35c632f35f04 |
completed | April 1, 2026, 8:14 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d1223d3cd8819089fec4c895125049 |
completed | April 4, 2026, 2:37 p.m. |
Created at: March 30, 2026, 7:49 p.m.