Triple
T4573432
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Francois Pienaar |
E123088
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object |
Francois
Francois is a masculine given name of French origin, commonly used in French-speaking countries and internationally.
|
E41603
|
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: Francois | Statement: [Francois Pienaar, givenName, Francois]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Francois Context triple: [Francois Pienaar, givenName, Francois]
-
A.
Phillippe
Phillippe is a given name and surname, typically a French-influenced variant of Philip, used for both real and fictional individuals.
-
B.
Jean-François
Jean-François is the given name of Jean-François de La Clue-Sabran, an 18th-century French naval officer and admiral.
-
C.
Ludovic
Ludovic is a masculine given name, used in various European languages, that is etymologically related to the name Ludwig.
-
D.
Édouard
Édouard is the French form of the given name Edward, commonly used in French-speaking countries.
-
E.
François
François is the given name of the French poet and essayist Sully Prudhomme, the first recipient of the Nobel Prize in Literature.
- 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: Francois Triple: [Francois Pienaar, givenName, Francois]
Generated description
Francois is a masculine given name of French origin, commonly used in French-speaking countries and internationally.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Francois Target entity description: Francois is a masculine given name of French origin, commonly used in French-speaking countries and internationally.
-
A.
Phillippe
Phillippe is a given name and surname, typically a French-influenced variant of Philip, used for both real and fictional individuals.
-
B.
Jean-François
Jean-François is the given name of Jean-François de La Clue-Sabran, an 18th-century French naval officer and admiral.
-
C.
Ludovic
Ludovic is a masculine given name, used in various European languages, that is etymologically related to the name Ludwig.
-
D.
Édouard
Édouard is the French form of the given name Edward, commonly used in French-speaking countries.
-
E.
François
chosen
François is the given name of the French poet and essayist Sully Prudhomme, the first recipient of the Nobel Prize in Literature.
- F. None of above.
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_69bd46466c7081909d07f36be2d08804 |
completed | March 20, 2026, 1:06 p.m. |
| NER | Named-entity recognition | batch_69bd58c89a5c81909a78bf0ac64777ad |
completed | March 20, 2026, 2:25 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bdd3dde41c81909adf91b53450e590 |
completed | March 20, 2026, 11:10 p.m. |
| NEDg | Description generation | batch_69bdd79fe75c8190b672b80898d3cbf2 |
completed | March 20, 2026, 11:26 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69bdd85966348190841f272f347ee33f |
completed | March 20, 2026, 11:29 p.m. |
Created at: March 20, 2026, 1:10 p.m.