Triple
T150675
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Clementine |
E3423
|
entity |
| Predicate | hasDiminutive |
P456
|
FINISHED |
| Object | Clem |
E3423
|
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: [Clementine, hasDiminutive, Clem]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Clem Context triple: [Clementine, hasDiminutive, Clem]
-
A.
Coolamon
Coolamon is a small rural town in the Riverina region of New South Wales, Australia, known for its agricultural heritage and historic streetscape.
-
B.
Carl
Carl is the given name of Carl Sagan, the renowned American astronomer, science communicator, and author.
-
C.
Earl
An Earl is a noble rank in the British and some European peerage systems, historically positioned below a marquess and above a viscount.
-
D.
Leatherhead
Leatherhead is a historic market town in the county of Surrey in South East England, situated on the River Mole and serving as a local commercial and commuter hub.
-
E.
Clementine
chosen
Clementine is a feminine given name most famously borne by Clementine Churchill, the wife of British Prime Minister Winston Churchill.
- 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_69a252868de4819080e21c9938bfe8b6 |
completed | Feb. 28, 2026, 2:27 a.m. |
| NER | Named-entity recognition | batch_69a2580dda148190a522e0ac276d5f33 |
completed | Feb. 28, 2026, 2:50 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a2c52f29d88190b899f1eaf3012a4b |
completed | Feb. 28, 2026, 10:36 a.m. |
Created at: Feb. 28, 2026, 2:31 a.m.