Triple
T6997498
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Royal Robbins |
E162252
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Robbins |
E274002
|
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: Robbins | Statement: [Royal Robbins, familyName, Robbins]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Robbins Context triple: [Royal Robbins, familyName, Robbins]
-
A.
Robbins
Robbins is the middle name of H. R. Haldeman, the influential White House Chief of Staff under U.S. President Richard Nixon and a central figure in the Watergate scandal.
-
B.
Robbins
chosen
Robbins is a common English-language surname borne by numerous notable individuals across fields such as entertainment, literature, and academia.
-
C.
Robberts
Robberts is the given name of Charles Robberts Swart, the first State President of South Africa.
-
D.
Robards
Robards is a surname most prominently associated with the American stage and film actor Jason Robards.
-
E.
Rosen
Rosen is a common Ashkenazi Jewish surname borne by numerous notable figures in politics, arts, science, and business.
- 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_69c68857ffc08190857dc62cd5253777 |
completed | March 27, 2026, 1:38 p.m. |
| NER | Named-entity recognition | batch_69c6dbeef57881909245c8a5374a8111 |
completed | March 27, 2026, 7:35 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c76a2465908190b69454f6215365b0 |
completed | March 28, 2026, 5:41 a.m. |
Created at: March 27, 2026, 2:33 p.m.