Triple
T29742667
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jean, Count of Paris |
E752653
|
entity |
| Predicate | houseHeadshipScope |
P105827
|
FINISHED |
| Object | French royal House of Orléans |
—
|
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: French royal House of Orléans | Statement: [Jean, Count of Paris, houseHeadshipScope, French royal House of Orléans]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: houseHeadshipScope Context triple: [Jean, Count of Paris, houseHeadshipScope, French royal House of Orléans]
-
A.
houseHead
chosen
Indicates that one entity serves as the head, leader, or primary authority of a particular house or household associated with the other entity.
-
B.
houseHeadFrom
Indicates that a person serves as the head or leader of a household originating from or associated with a specified source or location.
-
C.
houseOrFamily
Indicates that two entities are related through a shared house, household, or family membership.
-
D.
houseRole
Indicates the functional role, purpose, or use that a house has within a given context or system.
-
E.
chiefHouse
Indicates that a particular house serves as the primary or leading residence associated with a given entity (such as a person, group, or organization).
- 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_69f0d62b064081908c1ae61cd68fb139 |
completed | April 28, 2026, 3:45 p.m. |
| NER | Named-entity recognition | batch_69f68f670b608190a0b6ab60d722b4e0 |
completed | May 2, 2026, 11:57 p.m. |
| PD | Predicate disambiguation | batch_69f68b7b03488190b1db5fde4c7dd6e5 |
completed | May 2, 2026, 11:40 p.m. |
Created at: April 28, 2026, 7:49 p.m.