Triple
T7616053
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Christian McCaffrey |
E172363
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | McCaffrey |
E462335
|
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: McCaffrey | Statement: [Christian McCaffrey, familyName, McCaffrey]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: McCaffrey Context triple: [Christian McCaffrey, familyName, McCaffrey]
-
A.
McCaffrey
chosen
McCaffrey is the surname of Anne McCaffrey, the acclaimed science fiction and fantasy author best known for her Dragonriders of Pern series.
-
B.
Maryland Smith
Maryland Smith is the business school of the University of Maryland, known for its programs in business, management, and related fields.
-
C.
Chelsea Finn
Chelsea Finn is a prominent computer scientist and roboticist known for her influential research in meta-learning, reinforcement learning, and generalizable robot learning.
-
D.
Grace McKagan
Grace McKagan is an American singer and model best known as the frontwoman of the rock band The Pink Slips and the daughter of Guns N' Roses bassist Duff McKagan.
-
E.
Rebecca Caine
Rebecca Caine is a Canadian soprano and musical theatre actress best known for her work in productions such as Les Misérables and The Phantom of the Opera.
- 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_69c6994f50808190ba228764bb422417 |
completed | March 27, 2026, 2:50 p.m. |
| NER | Named-entity recognition | batch_69c6fa4569c88190b2968403a24e7882 |
completed | March 27, 2026, 9:44 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c868714d7c8190aae66a3dd4e6214b |
completed | March 28, 2026, 11:46 p.m. |
Created at: March 27, 2026, 3:55 p.m.