Triple
T4171098
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Antoine Galland |
E84563
|
entity |
| Predicate | placeOfBirth |
P1
|
FINISHED |
| Object |
Rollot
Rollot is a small commune in northern France, notable as the birthplace of the orientalist and translator Antoine Galland.
|
E417926
|
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: Rollot | Statement: [Antoine Galland, placeOfBirth, Rollot]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Rollot Context triple: [Antoine Galland, placeOfBirth, Rollot]
-
A.
Royat
Royat is a spa town in central France known for its thermal springs and Belle Époque architecture.
-
B.
Rolen
Rolen is a surname most notably associated with Scott Rolen, a Hall of Fame Major League Baseball third baseman.
-
C.
Labouret
Labouret is a French surname associated with individuals such as Marie-Louise Élisabeth Labouret.
-
D.
Rallo
Rallo is a young, mischievous character from the animated television series "The Cleveland Show," known for his precocious attitude and comedic antics.
-
E.
Rolph
Rolph is a surname most notably associated with James Rolph, a prominent early 20th-century American politician and former mayor of San Francisco and governor of California.
- 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: Rollot Triple: [Antoine Galland, placeOfBirth, Rollot]
Generated description
Rollot is a small commune in northern France, notable as the birthplace of the orientalist and translator Antoine Galland.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Rollot Target entity description: Rollot is a small commune in northern France, notable as the birthplace of the orientalist and translator Antoine Galland.
-
A.
Royat
Royat is a spa town in central France known for its thermal springs and Belle Époque architecture.
-
B.
Rolen
Rolen is a surname most notably associated with Scott Rolen, a Hall of Fame Major League Baseball third baseman.
-
C.
Labouret
Labouret is a French surname associated with individuals such as Marie-Louise Élisabeth Labouret.
-
D.
Rallo
Rallo is a young, mischievous character from the animated television series "The Cleveland Show," known for his precocious attitude and comedic antics.
-
E.
Rolph
Rolph is a surname most notably associated with James Rolph, a prominent early 20th-century American politician and former mayor of San Francisco and governor of California.
- 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_69aed932cab48190b80ffe35f7029ae1 |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69af02c87cc88190a9ec3712db18a8a7 |
completed | March 9, 2026, 5:26 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b57f4ef1a08190a232ed94595a86e8 |
completed | March 14, 2026, 3:31 p.m. |
| NEDg | Description generation | batch_69b580e08e888190b48ddae4435c984a |
completed | March 14, 2026, 3:38 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69b5817b52bc8190aba6863a9ef05acf |
completed | March 14, 2026, 3:40 p.m. |
Created at: March 9, 2026, 3:45 p.m.