Triple
T10810159
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ira Levin |
E255076
|
entity |
| Predicate | givenName |
P17
|
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: [Ira Levin, givenName, Ira]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ira Context triple: [Ira Levin, givenName, 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.
Iras
Iras is a loyal attendant and companion to Cleopatra in Shakespeare’s tragedy "Antony and Cleopatra."
-
D.
Ira Newborn
Ira Newborn is an American composer and musician best known for his film scores and theme music for popular comedies of the 1980s and 1990s.
-
E.
Irvin
Irvin is a surname most prominently associated with former NFL wide receiver and sports commentator Michael Irvin.
- 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_69d6aa61c15c8190a1839550c56e75e1 |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d733b6efc48190bb64b5a8fac843c4 |
completed | April 9, 2026, 5:05 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69de8526237881908dc3b25b16de7871 |
completed | April 14, 2026, 6:19 p.m. |
Created at: April 8, 2026, 9:18 p.m.