Triple
T31405847
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Anatomy of a Marriage: My Days with Jean-Marc |
E801122
|
entity |
| Predicate | hasCentralPerformance |
P181350
|
FINISHED |
| Object | Marie-José Nat |
—
|
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: Marie-José Nat | Statement: [Anatomy of a Marriage: My Days with Jean-Marc, hasCentralPerformance, Marie-José Nat]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasCentralPerformance Context triple: [Anatomy of a Marriage: My Days with Jean-Marc, hasCentralPerformance, Marie-José Nat]
-
A.
hasCentralAct
Indicates that an entity includes or is characterized by a primary or most important action, event, or operation at its core.
-
B.
hasCentralSpace
Indicates that an entity includes or is characterized by a primary, central area or space within its overall structure.
-
C.
hasCentralRegion
Indicates that an entity possesses or is associated with a primary or central area within its overall structure or domain.
-
D.
hasCentralIntensity
Indicates that something possesses a specific value or measure of intensity at its central point or core region.
-
E.
hasCentralDensity
Indicates that an entity possesses a specified value for its density at the central or core region.
- 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_69f348c0dd648190bf2fd7642f78eb06 |
completed | April 30, 2026, 12:19 p.m. |
| NER | Named-entity recognition | batch_69f7688dd3d08190ad13d0e780570a1c |
completed | May 3, 2026, 3:23 p.m. |
| PD | Predicate disambiguation | batch_69f767fcf2f881908bacc7bfc38e68a5 |
completed | May 3, 2026, 3:21 p.m. |
| PDg | Predicate description generation | batch_69f7688cea58819098bdfd7c80df7634 |
completed | May 3, 2026, 3:23 p.m. |
Created at: April 30, 2026, 8:31 p.m.