Triple
T901698
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Clemmie |
E19459
|
entity |
| Predicate | relatedName |
P3889
|
FINISHED |
| Object | Clemmy |
E19459
|
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: Clemmy | Statement: [Clemmie, relatedName, Clemmy]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Clemmy Context triple: [Clemmie, relatedName, Clemmy]
-
A.
Prancer
Prancer is one of Santa Claus's legendary flying reindeer, traditionally depicted as helping pull his sleigh on Christmas Eve.
-
B.
Clemmie
chosen
Clemmie is a diminutive given name commonly used as a nickname for Clementine.
-
C.
Felix
Felix is a masculine given name of Latin origin meaning "happy" or "fortunate," borne by numerous historical and contemporary figures.
-
D.
Rufus
Rufus was a 1970s American funk and R&B band best known for launching Chaka Khan’s career and for hits like “Tell Me Something Good” and “Ain’t Nobody.”
-
E.
Blagg
Blagg is a variant form of the surname "Black," typically arising as an alternative spelling in English-speaking regions.
- 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_69a4939e889c8190ac148b3ac1a7f90b |
completed | March 1, 2026, 7:29 p.m. |
| NER | Named-entity recognition | batch_69a4ad4412408190a6bf8fc7484a5781 |
completed | March 1, 2026, 9:19 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a7cf5a4118819086035d6e250a53cc |
completed | March 4, 2026, 6:21 a.m. |
Created at: March 1, 2026, 7:39 p.m.