Triple
T12441928
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Portrait of Victor Hugo |
E297294
|
entity |
| Predicate | depictsPersonDateOfBirth |
P105043
|
FINISHED |
| Object | Victor Hugo 1802-02-26 |
—
|
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: Victor Hugo 1802-02-26 | Statement: [Portrait of Victor Hugo, depictsPersonDateOfBirth, Victor Hugo 1802-02-26]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: depictsPersonDateOfBirth Context triple: [Portrait of Victor Hugo, depictsPersonDateOfBirth, Victor Hugo 1802-02-26]
-
A.
dateOfBirth
Indicates the specific calendar date on which an individual or entity was born.
-
B.
subjectBirthDate
Indicates the date on which the subject was born.
-
C.
uncertainBirthDate
Indicates that the exact birth date of an entity is not known or is only approximately specified.
-
D.
refersToPersonBornOn
Indicates that one entity makes reference to, or is associated with, a specific person who was born on a given date.
-
E.
depictsPerson
Indicates that one entity visually represents or portrays a specific person.
- 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_69d6ada166c48190b902972cd2408fa3 |
completed | April 8, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69d95151e7348190a1d4953a8b416a13 |
completed | April 10, 2026, 7:36 p.m. |
| PD | Predicate disambiguation | batch_69d94d3c27a08190a0237200203e476d |
completed | April 10, 2026, 7:19 p.m. |
| PDg | Predicate description generation | batch_69d9511989ac8190ade98f52f66f7cd4 |
completed | April 10, 2026, 7:35 p.m. |
Created at: April 8, 2026, 9:55 p.m.