Triple
T13263984
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Emily |
E315868
|
entity |
| Predicate | hasDiminutive |
P456
|
FINISHED |
| Object | Em |
E168866
|
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: Em | Statement: [Emily, hasDiminutive, Em]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Em Context triple: [Emily, hasDiminutive, Em]
-
A.
Em
chosen
Em is a common shortened form of the given name Emma, often used as an informal nickname.
-
B.
Ev
Ev is a short, informal diminutive of the given name Evan, often used as a casual nickname.
-
C.
Ent
An Ent is a giant, ancient, tree-like guardian of the forests in J.R.R. Tolkien’s Middle-earth legendarium.
-
D.
Ent
Ent is a surname most notably associated with Uzal G. Ent, a senior officer in the United States Army Air Forces during World War II.
-
E.
Er
Er is a minor biblical figure in the Book of Genesis, known as the firstborn son of Judah whose early death led to the levirate marriage of his widow Tamar.
- 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_69f70a48bc488190a5cf692d81bdcbba |
completed | May 3, 2026, 8:41 a.m. |
Created at: April 9, 2026, 9:25 p.m.