Triple
T12668864
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wesley Crusher |
E302624
|
entity |
| Predicate | middleName |
P143
|
FINISHED |
| Object | Robert |
E2918
|
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: Robert | Statement: [Wesley Crusher, middleName, Robert]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Robert Context triple: [Wesley Crusher, middleName, Robert]
-
A.
Robert
Robert, also known as Rollo, was a Viking leader who became the first ruler of Normandy in the early 10th century.
-
B.
Robert
Robert is a fictional character known primarily for his role in the story of "Betrayal."
-
C.
Robert
chosen
Robert is a common masculine given name of Germanic origin, widely used in English-speaking countries.
-
D.
Roy
Roy is a common masculine given name of Celtic origin, often used independently or as a nickname for longer names.
-
E.
Roy
Roy is a suburban city in northern Utah, located near Ogden and part of the Ogden–Clearfield metropolitan area.
- 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_69d7bded71a88190bb76e2413af9ea66 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d96183a6048190b2ef219eb9d20aa4 |
completed | April 10, 2026, 8:45 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f67c6ddfdc81908df8baa701ed1fbf |
completed | May 2, 2026, 10:36 p.m. |
Created at: April 9, 2026, 5:20 p.m.