Triple
T13422487
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pierre Menard |
E313391
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Menard
Menard is a French surname borne by various notable individuals across fields such as literature, politics, and sports.
|
E1039062
|
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: Menard | Statement: [Pierre Menard, familyName, Menard]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Menard Context triple: [Pierre Menard, familyName, Menard]
-
A.
Carswell
Carswell is a surname of English and Scottish origin borne by various notable individuals, including politicians, judges, and public figures.
-
B.
Laporte
Laporte is a surname of French origin borne by various notable individuals across fields such as science, sports, and politics.
-
C.
Laporte
Laporte is a small borough that serves as the county seat of Sullivan County in northeastern Pennsylvania.
-
D.
Philmore
Philmore is a character appearing in the 1914 silent film "Jitney," likely serving as one of its supporting comedic roles.
-
E.
Boerne
Boerne is a small, historic town in south-central Texas known for its German heritage, charming downtown, and scenic Hill Country surroundings.
- 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: Menard Triple: [Pierre Menard, familyName, Menard]
Generated description
Menard is a French surname borne by various notable individuals across fields such as literature, politics, and sports.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Menard Target entity description: Menard is a French surname borne by various notable individuals across fields such as literature, politics, and sports.
-
A.
Carswell
Carswell is a surname of English and Scottish origin borne by various notable individuals, including politicians, judges, and public figures.
-
B.
Laporte
Laporte is a surname of French origin borne by various notable individuals across fields such as science, sports, and politics.
-
C.
Laporte
Laporte is a small borough that serves as the county seat of Sullivan County in northeastern Pennsylvania.
-
D.
Philmore
Philmore is a character appearing in the 1914 silent film "Jitney," likely serving as one of its supporting comedic roles.
-
E.
Boerne
Boerne is a small, historic town in south-central Texas known for its German heritage, charming downtown, and scenic Hill Country surroundings.
- 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_69d806ad0c44819088833ae1ec9e9690 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69dbaecf13748190ae40c7b95164f914 |
completed | April 12, 2026, 2:40 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f7308493e481909da52f8bbcc0bd6b |
completed | May 3, 2026, 11:24 a.m. |
| NEDg | Description generation | batch_69f73195e4d88190ad356d0e3e18d34f |
completed | May 3, 2026, 11:29 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69f73220ffc08190bfb1b89757efd606 |
completed | May 3, 2026, 11:31 a.m. |
Created at: April 9, 2026, 9:39 p.m.