Triple
T1644342
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jean-Christophe, Prince Napoléon |
E35544
|
entity |
| Predicate | headOfHouseSince |
P29789
|
FINISHED |
| Object | 1997 |
—
|
LITERAL 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: 1997 | Statement: [Jean-Christophe, Prince Napoléon, headOfHouseSince, 1997]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: headOfHouseSince Context triple: [Jean-Christophe, Prince Napoléon, headOfHouseSince, 1997]
-
A.
presidentSince
Indicates that one entity has held the office of president of another entity starting from a specified point in time.
-
B.
isHeadOf
Indicates that one entity holds the leading or principal authority position over another entity, such as an organization, group, or department.
-
C.
headOfOffice
Indicates that one entity serves as the chief or leading authority in charge of a particular office or organizational unit.
-
D.
headOfRepublic
Indicates the relationship in which a person holds the highest office and serves as the chief of state of a republic.
-
E.
longestServing
Indicates that one entity has served in a role, position, or capacity for a longer continuous duration than any other comparable entity.
- 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_69a88604618c81908b41f6429c431eb6 |
completed | March 4, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69a919306fd48190a245fc95e0e759d9 |
completed | March 5, 2026, 5:48 a.m. |
| PD | Predicate disambiguation | batch_69a907cc9d348190b76b0d3f596e5a81 |
completed | March 5, 2026, 4:34 a.m. |
| PDg | Predicate description generation | batch_69a9192f975c8190bfd514a4b5a8786c |
completed | March 5, 2026, 5:48 a.m. |
Created at: March 4, 2026, 7:28 p.m.