Triple
T13785250
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | John McLoughlin |
E331237
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
McLoughlin
McLoughlin is an Irish-origin surname borne by numerous notable figures in politics, sports, and the arts.
|
E1062354
|
NE FINISHED |
How this triple was built (4 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: McLoughlin | Statement: [John McLoughlin, familyName, McLoughlin]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: McLoughlin Context triple: [John McLoughlin, familyName, McLoughlin]
-
A.
Mullavey
Mullavey is a surname most notably associated with American actor Greg Mullavey, known for his work in television and film.
-
B.
Driggs
Driggs is a family name of American origin associated with figures such as Lois Driggs Cannon and other members of the Driggs family.
-
C.
White Rock
White Rock is a residential community in northern New Mexico known as one of the main population centers supporting the Los Alamos National Laboratory area.
-
D.
White Rock
White Rock is a small coastal city in British Columbia, Canada, known for its scenic waterfront, long pier, and namesake white boulder on the beach.
-
E.
White Rock
White Rock is a popular dive site off the coast of Ko Tao in Thailand, known for its large granite pinnacles, abundant marine life, and suitability for divers of varying experience levels.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: McLoughlin Triple: [John McLoughlin, familyName, McLoughlin]
Generated description
McLoughlin is an Irish-origin surname borne by numerous notable figures in politics, sports, and the arts.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: McLoughlin Target entity description: McLoughlin is an Irish-origin surname borne by numerous notable figures in politics, sports, and the arts.
-
A.
Mullavey
Mullavey is a surname most notably associated with American actor Greg Mullavey, known for his work in television and film.
-
B.
Driggs
Driggs is a family name of American origin associated with figures such as Lois Driggs Cannon and other members of the Driggs family.
-
C.
White Rock
White Rock is a residential community in northern New Mexico known as one of the main population centers supporting the Los Alamos National Laboratory area.
-
D.
White Rock
White Rock is a small coastal city in British Columbia, Canada, known for its scenic waterfront, long pier, and namesake white boulder on the beach.
-
E.
White Rock
White Rock is a popular dive site off the coast of Ko Tao in Thailand, known for its large granite pinnacles, abundant marine life, and suitability for divers of varying experience levels.
- F. None of above. chosen
Provenance (5 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_69d81c58feb08190a77bca8bf7d6d20f |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de0248db988190aa43c3723af25f90 |
completed | April 14, 2026, 9 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f7b07d872c81908f912263d8f7c80d |
completed | May 3, 2026, 8:30 p.m. |
| NEDg | Description generation | batch_69f7b230fb448190bc16a1d8732ff76f |
completed | May 3, 2026, 8:38 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f7b2c55e188190b0ea8fa400ff2dfc |
completed | May 3, 2026, 8:40 p.m. |
Created at: April 9, 2026, 10:11 p.m.