Triple
T17355572
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Colette McArdle |
E421925
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Colette McArdle |
—
|
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: Colette McArdle | Statement: [Colette McArdle, name, Colette McArdle]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Colette McArdle Context triple: [Colette McArdle, name, Colette McArdle]
-
A.
Colette McArdle
chosen
Colette McArdle is the wife of Irish republican politician and former Sinn Féin president Gerry Adams.
-
B.
Emma McLaughlin
Emma McLaughlin is an American author best known for co-writing the bestselling novel "The Nanny Diaries," which satirizes the lives of wealthy New York families through the eyes of a young nanny.
-
C.
Megan Walsh
Megan Walsh is the teenage government-trained assassin who goes undercover as a high school student in the action-comedy film "Barely Lethal."
-
D.
Caroline O'Neill
Caroline O'Neill is a British actress known for her work in television dramas, including a role in the series "The Lakes."
-
E.
Keri Houlihan
Keri Houlihan is an American actress best known for her role on the 1980s television drama series "Our House."
- 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_69d889d520008190a26917a95bf1c2ea |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e43a487bd8819081c6d1e4aa466d6f |
completed | April 19, 2026, 2:13 a.m. |
Created at: April 10, 2026, 5:44 a.m.