Triple
T25055702
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Louis, Duke of Brittany (1704–1705) |
E627512
|
entity |
| Predicate | titleHeldDuringLifetime |
P103210
|
FINISHED |
| Object | Duke of Brittany |
—
|
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: Duke of Brittany | Statement: [Louis, Duke of Brittany (1704–1705), titleHeldDuringLifetime, Duke of Brittany]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: titleHeldDuringLifetime Context triple: [Louis, Duke of Brittany (1704–1705), titleHeldDuringLifetime, Duke of Brittany]
-
A.
titleHeldInLifetime
chosen
Indicates that an entity held a particular title at some point during their lifetime, regardless of when or for how long.
-
B.
titleHeldDuringPeriod
Indicates that an entity held a specific title or position for the duration of a given time period.
-
C.
titleHeldAs
Indicates that an entity holds or possesses a specific title in a particular capacity or role.
-
D.
titleHeldAfter
Indicates that one entity held a particular title or position after another entity, establishing a temporal succession in holding that title.
-
E.
titleHeldThrough
Indicates that an entity holds or possesses a title by means of, or via the intermediary of, another entity or mechanism.
- 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_69e2ff2c45f48190afa28369f1df6786 |
completed | April 18, 2026, 3:49 a.m. |
| NER | Named-entity recognition | batch_69f657f653448190a945b4751af8507d |
completed | May 2, 2026, 8 p.m. |
| PD | Predicate disambiguation | batch_69f6575ba12081909396036f78757a76 |
completed | May 2, 2026, 7:58 p.m. |
Created at: April 18, 2026, 6:09 a.m.