Triple
T15884908
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Irina |
E385166
|
entity |
| Predicate | hasDiminutiveForm |
P456
|
FINISHED |
| Object | Ira |
E542175
|
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: Ira | Statement: [Irina, hasDiminutiveForm, Ira]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ira Context triple: [Irina, hasDiminutiveForm, Ira]
-
A.
Ira
Ira is a supporting character in the 1984 adventure-romance film "Romancing the Stone," involved in the story’s treasure-hunting and kidnapping plot.
-
B.
Ira
chosen
Ira is a given name most famously associated with American lyricist Ira Gershwin, who collaborated with his brother George Gershwin on numerous classic songs and musicals.
-
C.
Ira
Ira is a small rural town located in Rutland County in the state of Vermont, United States.
-
D.
Ira
Ira is one of the mischievous Wild Things, a monster character from Maurice Sendak’s classic children’s book "Where the Wild Things Are."
-
E.
Iras
Iras is a loyal attendant and companion to Cleopatra in Shakespeare’s tragedy "Antony and Cleopatra."
- 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_69d86da5b800819083a31be937d738b0 |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e1561997bc8190a40e7d68defbbddd |
completed | April 16, 2026, 9:35 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ffa95651f88190a9aac72a667b999f |
completed | May 9, 2026, 9:38 p.m. |
Created at: April 10, 2026, 4:51 a.m.