Triple
T3625026
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ira Hirschmann |
E76816
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Ira |
E183555
|
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 Hirschmann, givenName, Ira]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ira Context triple: [Ira Hirschmann, givenName, Ira]
-
A.
Ira
chosen
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.
Irvin
Irvin is a surname most prominently associated with former NFL wide receiver and sports commentator Michael Irvin.
-
C.
Dana
Dana is a feminine given name commonly used in various cultures, including Czech, English, and Hebrew-speaking communities.
-
D.
Dana
Dana is a scientific work or authority that provides the formal description and classification of Antarctic krill.
-
E.
Dedan
Dedan is a biblical figure mentioned in the Hebrew Bible as a descendant of Abraham through Keturah and associated with an Arabian tribe or region known for trade.
- 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_69ad85dc03948190b35b7189e4175bcc |
completed | March 8, 2026, 2:21 p.m. |
| NER | Named-entity recognition | batch_69adc2dae7a48190809d4455b2349aaa |
completed | March 8, 2026, 6:41 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b4332260cc8190964a15bfee0a3b61 |
completed | March 13, 2026, 3:54 p.m. |
Created at: March 8, 2026, 3:23 p.m.