Triple
T7109124
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Paul-Michel Foucault |
E165664
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Paul-Michel |
E165664
|
NE FINISHED |
How this triple was built (2 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: Paul-Michel | Statement: [Paul-Michel Foucault, givenName, Paul-Michel]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Paul-Michel Context triple: [Paul-Michel Foucault, givenName, Paul-Michel]
-
A.
Paul-Michel
chosen
Paul-Michel is the given first name of the influential French philosopher and social theorist Michel Foucault.
-
B.
Pierre Michel
Pierre Michel is a minor but pivotal character in Agatha Christie's detective novel "Murder on the Orient Express," serving as the train's conductor and playing a key role in the mystery surrounding the central crime.
-
C.
Michel
Michel is the birth name of the acclaimed Egyptian actor Omar Sharif, renowned for his roles in classic films such as "Lawrence of Arabia" and "Doctor Zhivago."
-
D.
Michel
Michel is a fictional character appearing in Frederick Forsyth’s political thriller novel "The Dogs of War."
-
E.
Michel
Michel is a French given name commonly used for males, equivalent to "Michael" in English.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69c6888120f081908f8f01b201dc4a4c |
completed | March 27, 2026, 1:39 p.m. |
| NER | Named-entity recognition | batch_69c6e5bcf3e08190bd8c6cf896c416c4 |
completed | March 27, 2026, 8:17 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c79cb4840881908196e447618b38b0 |
completed | March 28, 2026, 9:17 a.m. |
Created at: March 27, 2026, 2:43 p.m.