Triple
T1475520
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Clementina |
E30830
|
entity |
| Predicate | shortForm |
P43
|
FINISHED |
| Object | Clem |
E113877
|
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: Clem | Statement: [Clementina, shortForm, Clem]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Clem Context triple: [Clementina, shortForm, Clem]
-
A.
Clem
chosen
Clem is a short, informal given name typically used as a diminutive of Clement.
-
B.
Clemmie
Clemmie is a diminutive given name commonly used as a nickname for Clementine.
-
C.
Cunningham
Cunningham is a common Scottish surname borne by numerous notable individuals across fields such as technology, politics, sports, and the arts.
-
D.
Carmichael
Carmichael is a suburban community in California known as a residential area within the greater Sacramento metropolitan region.
-
E.
Clyde
Clyde is a masculine given name of Scottish origin, historically associated with the River Clyde in Scotland and used widely in English-speaking countries.
- 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_69a498fe55a88190ab7f9e40ace88e49 |
completed | March 1, 2026, 7:52 p.m. |
| NER | Named-entity recognition | batch_69a4c602387c8190b97a20c8e05e3d16 |
completed | March 1, 2026, 11:04 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ad15ab9430819094deb90436983036 |
completed | March 8, 2026, 6:22 a.m. |
Created at: March 1, 2026, 8:11 p.m.