Triple
T9878828
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Stand by Your Man |
E240148
|
entity |
| Predicate | hasStereotypeAssociation |
P91566
|
FINISHED |
| Object | traditional gender roles in marriage |
—
|
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: traditional gender roles in marriage | Statement: [Stand by Your Man, hasStereotypeAssociation, traditional gender roles in marriage]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasStereotypeAssociation Context triple: [Stand by Your Man, hasStereotypeAssociation, traditional gender roles in marriage]
-
A.
hasStratificationType
Indicates the specific manner or pattern in which something is stratified or layered.
-
B.
hasArchetype
Indicates that one entity serves as the original model, pattern, or prototype upon which another entity is based or conceptually derived.
-
C.
hasStratotype
Indicates that one entity serves as the designated standard or reference example (stratotype) for defining the stratigraphic characteristics of another entity.
-
D.
hasStructureType
Indicates that an entity possesses or is classified by a specific structural type or configuration.
-
E.
hasContainmentType
Indicates the specific way in which one entity is contained within or enclosed by another.
- 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_69ca84e8a0788190b9061811d50fd554 |
completed | March 30, 2026, 2:12 p.m. |
| NER | Named-entity recognition | batch_69cdb4135c108190b3330e929509699d |
completed | April 2, 2026, 12:10 a.m. |
| PD | Predicate disambiguation | batch_69cd1d810ed48190a252b70e9390c8f3 |
completed | April 1, 2026, 1:28 p.m. |
| PDg | Predicate description generation | batch_69cd36f112bc81908b473787e702de2f |
completed | April 1, 2026, 3:17 p.m. |
Created at: March 30, 2026, 8:37 p.m.