Triple
T4088122
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mary Simon |
E87637
|
entity |
| Predicate | honorificSuffix |
P341
|
FINISHED |
| Object |
ONQ
ONQ is a Canadian national honorific designation signifying membership in the National Order of Quebec.
|
E413727
|
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: ONQ | Statement: [Mary Simon, honorificSuffix, ONQ]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: ONQ Context triple: [Mary Simon, honorificSuffix, ONQ]
-
A.
OON
OON is the abbreviation for the Order of Orange-Nassau, a Dutch royal order of chivalry awarded for special merits to society.
-
B.
ANQ
ANQ is the commonly used acronym for the National Assembly of Quebec, the unicameral legislative body of the Canadian province of Quebec.
-
C.
QOR
QOR is the abbreviation commonly used for The Queen's Own Rifles of Canada, a historic primary reserve infantry regiment of the Canadian Army.
-
D.
QUNO
QUNO is a Quaker organization that engages in quiet diplomacy and advocacy at the United Nations on issues such as peace, human rights, and social justice.
-
E.
ShinQs
ShinQs is a stylish multi-floor shopping complex and department store area located within the Shibuya Hikarie building in Tokyo, offering fashion, lifestyle goods, and gourmet food.
- 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: ONQ Triple: [Mary Simon, honorificSuffix, ONQ]
Generated description
ONQ is a Canadian national honorific designation signifying membership in the National Order of Quebec.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: ONQ Target entity description: ONQ is a Canadian national honorific designation signifying membership in the National Order of Quebec.
-
A.
OON
OON is the abbreviation for the Order of Orange-Nassau, a Dutch royal order of chivalry awarded for special merits to society.
-
B.
ANQ
ANQ is the commonly used acronym for the National Assembly of Quebec, the unicameral legislative body of the Canadian province of Quebec.
-
C.
QOR
QOR is the abbreviation commonly used for The Queen's Own Rifles of Canada, a historic primary reserve infantry regiment of the Canadian Army.
-
D.
QUNO
QUNO is a Quaker organization that engages in quiet diplomacy and advocacy at the United Nations on issues such as peace, human rights, and social justice.
-
E.
ShinQs
ShinQs is a stylish multi-floor shopping complex and department store area located within the Shibuya Hikarie building in Tokyo, offering fashion, lifestyle goods, and gourmet food.
- 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_69aed94425148190be337845d56fac22 |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aefca899008190b5ada98bdb79639f |
completed | March 9, 2026, 5 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b56b6335c4819093538f261a5093b3 |
completed | March 14, 2026, 2:06 p.m. |
| NEDg | Description generation | batch_69b56f249fa08190b14793f298ed160c |
completed | March 14, 2026, 2:22 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69b56f91065c8190bd6767249109d715 |
completed | March 14, 2026, 2:24 p.m. |
Created at: March 9, 2026, 3:39 p.m.