Triple
T20006880
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Replacement |
E494481
|
entity |
| Predicate | hasMaternityLeaveStoryline |
P138337
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [The Replacement, hasMaternityLeaveStoryline, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasMaternityLeaveStoryline Context triple: [The Replacement, hasMaternityLeaveStoryline, true]
-
A.
isPregnantInWork
Indicates that an entity is in a state of pregnancy during the performance or period of a specified work or activity.
-
B.
hasStageOfPregnancy
Indicates that an entity is in, or associated with, a specific stage or phase of pregnancy.
-
C.
hasMaternityUnit
Indicates that a facility or organization includes or operates a maternity unit where childbirth and related maternal care services are provided.
-
D.
confessedMaternityTo
Indicates that one entity has admitted or revealed to another entity that she is the mother of a specified child.
-
E.
hasFictionalMother
Indicates that one entity is the fictional mother of another entity within a narrative or fictional context.
- 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_69da626b2d748190886981ea90c8b2ea |
completed | April 11, 2026, 3:02 p.m. |
| NER | Named-entity recognition | batch_69e661a648a88190853ee741edcf6ca2 |
completed | April 20, 2026, 5:25 p.m. |
| PD | Predicate disambiguation | batch_69e54cdddbd48190becc8b2aa5ab4ef9 |
completed | April 19, 2026, 9:45 p.m. |
| PDg | Predicate description generation | batch_69e54fc20888819083c9118a09d0d2dc |
completed | April 19, 2026, 9:57 p.m. |
Created at: April 11, 2026, 3:33 p.m.