Triple
T1449484
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rob |
E31255
|
entity |
| Predicate | hasRelatedName |
P3889
|
FINISHED |
| Object | Robin |
E108912
|
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: Robin | Statement: [Rob, hasRelatedName, Robin]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Robin Context triple: [Rob, hasRelatedName, Robin]
-
A.
Robin
chosen
Robin is a given name commonly used in various cultures, often as a diminutive or variant of names like Robert.
-
B.
Charlie
Charlie is the fictional Boston subway rider in the folk song "Charlie on the MTA," known for being unable to get off the train because he lacks the fare to exit.
-
C.
Charlie
Charlie was the third nuclear test in the U.S. Operation Crossroads series, planned as an underwater detonation to study the effects of nuclear weapons on naval vessels.
-
D.
Ray
Ray is a masculine given name commonly used in English-speaking countries, often as a short form of Raymond.
-
E.
Robina
Robina is a master-planned residential and commercial suburb on the Gold Coast in Queensland, Australia, known for its large shopping centre and modern urban design.
- 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_69a499171a28819085b993a3ac78e363 |
completed | March 1, 2026, 7:52 p.m. |
| NER | Named-entity recognition | batch_69a4c55c408c8190917ed44d9070a2fb |
completed | March 1, 2026, 11:01 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ad0e70103081908b958acc6873d974 |
completed | March 8, 2026, 5:51 a.m. |
Created at: March 1, 2026, 8 p.m.