Triple
T11696817
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cliff Anderson |
E278016
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Clifford |
E870989
|
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: Clifford | Statement: [Cliff Anderson, givenName, Clifford]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Clifford Context triple: [Cliff Anderson, givenName, Clifford]
-
A.
Clifford
Clifford is an English surname historically associated with several notable figures in British politics, nobility, and public life.
-
B.
Clifford
Clifford is the young boy protagonist of the 1991 horror-comedy film "Critters 3."
-
C.
Clifford
Clifford is a small village in West Yorkshire, England, known for its historic character and proximity to the town of Boston Spa.
-
D.
Clifford
chosen
Clifford is the given name of American actor and Academy Award winner Cliff Robertson.
-
E.
Clarry
Clarry is a diminutive or affectionate nickname derived from the given name Clarence.
- 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_69d6aafe02d881909900d54ad7d4af84 |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d8a47cef60819088b7cc3a3a711e4c |
completed | April 10, 2026, 7:19 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ef1471cba88190a7abdcbf4f579ea9 |
completed | April 27, 2026, 7:46 a.m. |
Created at: April 8, 2026, 9:40 p.m.