Triple
T18983348
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Postcards |
E464486
|
entity |
| Predicate | author |
P4
|
FINISHED |
| Object | Bridget O’Connor |
—
|
NE NERFINISHED |
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: Bridget O’Connor | Statement: [Postcards, author, Bridget O’Connor]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bridget O’Connor Context triple: [Postcards, author, Bridget O’Connor]
-
A.
Bridget O’Connor
chosen
Bridget O’Connor was a British screenwriter and playwright best known for co-writing the acclaimed adaptation of John le Carré’s Tinker Tailor Soldier Spy (2011).
-
B.
Bridget Kearney
Bridget Kearney is an American bassist, songwriter, and singer best known as a founding member of the genre-blending band Lake Street Dive.
-
C.
Bridget Tierney
Bridget Tierney is an actress known for her role in the television film "In the Gloaming."
-
D.
Bridget O'Brien
Bridget O'Brien is the daughter of Puerto Rican-American actress and singer Olga San Juan.
-
E.
Deirdre O'Connell
Deirdre O'Connell is an American actress known for her extensive work in film, television, and theater, including acclaimed stage performances and character roles on screen.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8dd008af48190a97ff1c6488edf1b |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5d65de6288190a53a3fdd59013d2d |
completed | April 20, 2026, 7:31 a.m. |
Created at: April 10, 2026, 12:01 p.m.