Triple
T3052976
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pascal Lamy |
E60413
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Lamy
Lamy is a French surname most prominently associated with Pascal Lamy, a former Director-General of the World Trade Organization.
|
E322367
|
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: Lamy | Statement: [Pascal Lamy, familyName, Lamy]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lamy Context triple: [Pascal Lamy, familyName, Lamy]
-
A.
Rotring
Rotring is a German brand renowned for its high-precision technical drawing instruments and writing tools, including mechanical pencils and technical pens.
-
B.
Montblanc
Montblanc is a luxury German brand renowned for its high-end writing instruments, watches, leather goods, and smartwatches.
-
C.
Paper Mate
Paper Mate is a well-known brand of writing instruments, particularly pens and pencils, recognized for everyday school, office, and home use.
-
D.
Faber Factory
Faber Factory is a digital publishing and distribution imprint associated with the British publishing house Faber and Faber, focused on helping publishers and authors manage and distribute e-books.
-
E.
Sharpie
Sharpie is a popular brand of permanent markers and writing instruments known for their bold, quick-drying ink used in homes, schools, and offices.
- 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: Lamy Triple: [Pascal Lamy, familyName, Lamy]
Generated description
Lamy is a French surname most prominently associated with Pascal Lamy, a former Director-General of the World Trade Organization.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Lamy Target entity description: Lamy is a French surname most prominently associated with Pascal Lamy, a former Director-General of the World Trade Organization.
-
A.
Rotring
Rotring is a German brand renowned for its high-precision technical drawing instruments and writing tools, including mechanical pencils and technical pens.
-
B.
Montblanc
Montblanc is a luxury German brand renowned for its high-end writing instruments, watches, leather goods, and smartwatches.
-
C.
Paper Mate
Paper Mate is a well-known brand of writing instruments, particularly pens and pencils, recognized for everyday school, office, and home use.
-
D.
Faber Factory
Faber Factory is a digital publishing and distribution imprint associated with the British publishing house Faber and Faber, focused on helping publishers and authors manage and distribute e-books.
-
E.
Sharpie
Sharpie is a popular brand of permanent markers and writing instruments known for their bold, quick-drying ink used in homes, schools, and offices.
- 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_69ad8578137c81908259dcb27c7d6d7c |
completed | March 8, 2026, 2:19 p.m. |
| NER | Named-entity recognition | batch_69ad9bf3c52c8190bbe8e5cb98c21715 |
completed | March 8, 2026, 3:55 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b1eefd3860819085cefea633b5dca9 |
completed | March 11, 2026, 10:38 p.m. |
| NEDg | Description generation | batch_69b1efa8c11081908661b33e465e11bc |
completed | March 11, 2026, 10:41 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69b1f05e44e08190be8b194938b6c1c7 |
completed | March 11, 2026, 10:44 p.m. |
Created at: March 8, 2026, 3:01 p.m.