Triple
T25587452
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Duchess of Menars |
E641423
|
entity |
| Predicate | titleHolderBetterKnownAs |
P142563
|
FINISHED |
| Object | Madame de Pompadour |
—
|
NE NERFINISHED |
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: Madame de Pompadour | Statement: [Duchess of Menars, titleHolderBetterKnownAs, Madame de Pompadour]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: titleHolderBetterKnownAs Context triple: [Duchess of Menars, titleHolderBetterKnownAs, Madame de Pompadour]
-
A.
titleHolderKnownAs
chosen
Indicates that the person holding a particular title is commonly referred to or known by a specified name or alias.
-
B.
titleHolderName
Indicates the name of the person or entity that holds a particular title or position.
-
C.
titleHolderKnownFor
Indicates that the title holder is recognized or notable for a particular work, achievement, or characteristic.
-
D.
titleHolderGivenName
Indicates that the predicate specifies the given (first) name of the person who holds a particular title.
-
E.
titleHolderFullName
Indicates the full personal name of the entity that holds a particular title or position.
- F. None of above.
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_69e75dc42b588190a98b58e0df359674 |
completed | April 21, 2026, 11:21 a.m. |
| NER | Named-entity recognition | batch_69f68805b4848190b75da14996d52a38 |
completed | May 2, 2026, 11:25 p.m. |
| PD | Predicate disambiguation | batch_69f68609c0b08190a8e1238a4d97c270 |
completed | May 2, 2026, 11:17 p.m. |
Created at: April 21, 2026, 4:17 p.m.