Triple
T18568433
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | George Moir Christie |
E453816
|
entity |
| Predicate | middleName |
P143
|
FINISHED |
| Object |
Moir
Moir is a given name and surname of Scottish origin used both independently and as a middle name.
|
E1330674
|
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: Moir | Statement: [George Moir Christie, middleName, Moir]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Moir Context triple: [George Moir Christie, middleName, Moir]
-
A.
Moiriat
Moiriat is a locality in eastern France situated near the Vouglans Reservoir in the Jura region.
-
B.
Moorer
Moorer is a surname most notably associated with American former professional boxer and three-time world heavyweight champion Michael Moorer.
-
C.
MÖR
MÖR is the station code for Mörby centrum, a metro station on the Stockholm Metro system in Sweden.
-
D.
Morg
Morg is a powerful Marvel Comics supervillain who served as one of Galactus’s most ruthless and brutal heralds.
-
E.
Morrow
Morrow is a component or section of the work "Modus Vivendi," likely representing a distinct thematic or structural part within that larger creation.
- 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: Moir Triple: [George Moir Christie, middleName, Moir]
Generated description
Moir is a given name and surname of Scottish origin used both independently and as a middle name.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Moir Target entity description: Moir is a given name and surname of Scottish origin used both independently and as a middle name.
-
A.
Moiriat
Moiriat is a locality in eastern France situated near the Vouglans Reservoir in the Jura region.
-
B.
Moorer
Moorer is a surname most notably associated with American former professional boxer and three-time world heavyweight champion Michael Moorer.
-
C.
MÖR
MÖR is the station code for Mörby centrum, a metro station on the Stockholm Metro system in Sweden.
-
D.
Morg
Morg is a powerful Marvel Comics supervillain who served as one of Galactus’s most ruthless and brutal heralds.
-
E.
Morrow
Morrow is a small suburban city in Clayton County, Georgia, known for hosting the main campus of Clayton State University just south of Atlanta.
- 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_69d8d38974308190a9174430ef256b73 |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e53affc3e08190b4d16b5ccb0bddbc |
completed | April 19, 2026, 8:28 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a049aecd7988190aeaba90194c93f12 |
completed | May 13, 2026, 3:38 p.m. |
| NEDg | Description generation | batch_6a049f08e2608190838c6f8dc09cfa0d |
completed | May 13, 2026, 3:55 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a049f971c34819085b6a3acab8b3ef8 |
completed | May 13, 2026, 3:58 p.m. |
Created at: April 10, 2026, 11:43 a.m.