Triple
T7427062
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cahill |
E171394
|
entity |
| Predicate | hasVariant |
P455
|
FINISHED |
| Object | Cahilll |
E171394
|
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: Cahilll | Statement: [Cahill, hasVariant, Cahilll]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Cahilll Context triple: [Cahill, hasVariant, Cahilll]
-
A.
Cahill
chosen
Cahill is a surname of Irish origin borne by numerous notable individuals across sports, politics, and the arts.
-
B.
McCauley
McCauley is the maiden surname of Rosa Parks, the prominent American civil rights activist known for her pivotal role in the Montgomery bus boycott.
-
C.
Callan
Callan is a historic market town in County Kilkenny, Ireland, known for its medieval heritage and traditional rural character.
-
D.
Cullen
Cullen is a surname of Irish and Scottish origin borne by various notable individuals across politics, sports, and the arts.
-
E.
Kelleher
Kelleher is a surname most notably associated with Herb Kelleher, the co-founder and longtime CEO of Southwest Airlines.
- 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_69c68a63491881909281f73d4d5643bf |
completed | March 27, 2026, 1:47 p.m. |
| NER | Named-entity recognition | batch_69c6f3055b7881908269ab909c5a85b5 |
completed | March 27, 2026, 9:13 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c81f0e28e88190805108dff740dda3 |
completed | March 28, 2026, 6:33 p.m. |
Created at: March 27, 2026, 3:12 p.m.