Triple
T13263986
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Emily |
E315868
|
entity |
| Predicate | hasDiminutive |
P456
|
FINISHED |
| Object | Emmie |
E168867
|
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: Emmie | Statement: [Emily, hasDiminutive, Emmie]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Emmie Context triple: [Emily, hasDiminutive, Emmie]
-
A.
Emmie
chosen
Emmie is a diminutive given name, typically used as a affectionate or informal variant of names like Emma.
-
B.
Emmalee
Emmalee is a given name that functions as an alternative spelling variant of the name Emily.
-
C.
Ava
Ava is a feminine given name most famously associated with American actress and Hollywood icon Ava Gardner.
-
D.
Ava
Ava was a prominent historical city and royal capital in Upper Burma (now Myanmar), serving as a major political and cultural center for several Burmese kingdoms.
-
E.
Abbie
Abbie is a central character in the film "20th Century Women," portrayed as a punk-influenced, free-spirited young woman who helps shape the coming-of-age journey of the teenage protagonist.
- 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_69d806b1d9ac8190852c5571d5bd5f0f |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d9901c65048190bd8b3c4872f22520 |
completed | April 11, 2026, 12:04 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f71f1a305081908bd2be2f5276c91f |
completed | May 3, 2026, 10:10 a.m. |
Created at: April 9, 2026, 9:25 p.m.