Triple
T20907941
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Orla Mallon |
E514854
|
entity |
| Predicate | hasFamilyName |
P18
|
FINISHED |
| Object | Mallon |
—
|
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: Mallon | Statement: [Orla Mallon, hasFamilyName, Mallon]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mallon Context triple: [Orla Mallon, hasFamilyName, Mallon]
-
A.
Mallon
chosen
Mallon is an Irish surname most notably associated with Seamus Mallon, a prominent nationalist politician from Northern Ireland.
-
B.
Mullens
Mullens is a surname of likely English or Irish origin borne by various individuals and families.
-
C.
Culross
Culross is a historic coastal village in Fife, Scotland, known for its well-preserved 16th–17th century buildings and picturesque harbour.
-
D.
Kelso
Kelso was a legendary American Thoroughbred racehorse, widely regarded as one of the greatest in history for his multiple Horse of the Year titles and dominance in major stakes races.
-
E.
Kelso
Kelso is a historic railroad town in California’s Mojave Desert that developed as a key service and supply point for trains and workers on the Union Pacific line.
- 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_69e0b4f8a1108190bce3d31331290ced |
completed | April 16, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69e6e900ee7881909ab1046b40dca486 |
completed | April 21, 2026, 3:03 a.m. |
Created at: April 16, 2026, 12:47 p.m.