Triple
T37490290
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Louis Joseph, Duke of Guise |
E931662
|
entity |
| Predicate | heldMostPrestigiousTitleIn |
P188392
|
FINISHED |
| Object | France |
—
|
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: France | Statement: [Louis Joseph, Duke of Guise, heldMostPrestigiousTitleIn, France]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: heldMostPrestigiousTitleIn Context triple: [Louis Joseph, Duke of Guise, heldMostPrestigiousTitleIn, France]
-
A.
majorTitleWon
Indicates that an entity has won a significant or top-level title, championship, or major award in a given domain.
-
B.
titleHeldAs
Indicates that an entity holds or possesses a specific title in a particular capacity or role.
-
C.
heldWorldsLargestTitleFrom
Indicates that an entity held the distinction of being the world’s largest in a particular category starting from a specified time.
-
D.
hasTitleHolderAward
Indicates that an entity holds or has been granted a specific title-related award.
-
E.
heldWorldsLargestTitleUntil
Indicates that an entity held the distinction of being the world’s largest in a particular category up to a specified point in time.
- F. None of above. chosen
Provenance (4 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_69f76ec457a4819094eeb3aed9baac11 |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_69fba68077788190b311e027435fcf87 |
completed | May 6, 2026, 8:37 p.m. |
| PD | Predicate disambiguation | batch_69fba34c65ac8190b298f0f00d1dcc0e |
completed | May 6, 2026, 8:23 p.m. |
| PDg | Predicate description generation | batch_69fba67f78348190ab160988e4698394 |
completed | May 6, 2026, 8:37 p.m. |
Created at: May 3, 2026, 4:17 p.m.