Triple
T15003629
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jimmy MacElroy |
E377650
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | MacElroy |
E686729
|
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: MacElroy | Statement: [Jimmy MacElroy, familyName, MacElroy]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: MacElroy Context triple: [Jimmy MacElroy, familyName, MacElroy]
-
A.
McElroy
chosen
McElroy is a surname of Scottish and Irish origin borne by various notable individuals in politics, entertainment, sports, and other fields.
-
B.
MacKinlay
MacKinlay is a Scottish family name that serves as a sept of Clan Buchanan in the Scottish Highlands.
-
C.
Laird
Laird is a given name of Scottish origin traditionally used as a masculine middle or first name, associated with landownership and nobility.
-
D.
Mulroy
Mulroy is a character from the film "The Terminal," known as one of the airport workers who befriends Viktor Navorski during his extended stay in the terminal.
-
E.
MacRae
MacRae is a Scottish surname associated with various notable individuals in fields such as entertainment, sports, and public life.
- 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_69d85cd3a3c881908c71fc424d459c17 |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69ded7312ae48190bdaf91ecced6657e |
completed | April 15, 2026, 12:09 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fe96a04eec8190b347bf3637aba0bc |
completed | May 9, 2026, 2:06 a.m. |
Created at: April 10, 2026, 2:54 a.m.