Triple
T12837797
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Eileen Durkan |
E306963
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Eileen Durkan |
E306963
|
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: Eileen Durkan | Statement: [Eileen Durkan, name, Eileen Durkan]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Eileen Durkan Context triple: [Eileen Durkan, name, Eileen Durkan]
-
A.
Eileen Durkan
chosen
Eileen Durkan is a notable individual associated with the Durkan family name, recognized as a distinguished bearer of the surname.
-
B.
Eileen Connolly
Eileen Connolly is a prominent author and teacher in the field of tarot and esoteric studies, known for her influential books on divination and metaphysics.
-
C.
Eileen Duggan
Eileen Duggan was a New Zealand poet known for her lyrical, often religiously inflected verse and her significant contribution to early 20th-century New Zealand literature.
-
D.
Eileen Walsh
Eileen Walsh is an Irish actress known for her powerful performances in film, television, and theatre, including a notable role in the drama "The Magdalene Sisters."
-
E.
Gloria Cleary
Gloria Cleary is a quirky, emotionally intense love interest portrayed by Isla Fisher in the comedy film "Wedding Crashers."
- 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_69d7bdf52b94819096d6f0ba4ab50a98 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d96ff015f4819090070a01f3938acc |
completed | April 10, 2026, 9:47 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd4c1ee7048190b2571364b25bd49d |
completed | May 8, 2026, 2:36 a.m. |
Created at: April 9, 2026, 5:35 p.m.