Triple
T11995736
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Annie |
E285524
|
entity |
| Predicate | familyMember |
P566
|
FINISHED |
| Object | Cliff |
E68822
|
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: Cliff | Statement: [Annie, familyMember, Cliff]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Cliff Context triple: [Annie, familyMember, Cliff]
-
A.
Cliff
chosen
Cliff is a masculine given name, often used as a short form of Clifford or Clifton.
-
B.
Kliff
Kliff is an American football coach best known for his tenure as head coach of the Arizona Cardinals in the NFL and Texas Tech at the college level.
-
C.
The Cliff
The Cliff is a historic football training ground best known as the former training base of Manchester United in Salford, England.
-
D.
Steel Cliff
Steel Cliff is a prominent rock formation on the south side of Mount Hood in Oregon, known for its steep, exposed faces that challenge climbers and influence local glacier features.
-
E.
Cliff Crown
Cliff Crown is a British football executive best known for serving as the chairman of Brentford Football Club.
- 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_69d6ab44a77c8190a652f4b27164e4ef |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d903b211688190bfe6dd15c3f96d2f |
completed | April 10, 2026, 2:05 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f47281ea7c819081921bc125f8895f |
completed | May 1, 2026, 9:29 a.m. |
Created at: April 8, 2026, 9:46 p.m.