Triple
T6848442
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lut |
E157953
|
entity |
| Predicate | wifeDescribedAs |
P56755
|
FINISHED |
| Object | among those who lagged behind |
—
|
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: among those who lagged behind | Statement: [Lut, wifeDescribedAs, among those who lagged behind]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: wifeDescribedAs Context triple: [Lut, wifeDescribedAs, among those who lagged behind]
-
A.
spouseAssociatedWith
Indicates a marital or spousal relationship or close association between two entities.
-
B.
describedBySpouseAs
chosen
Indicates that one person is characterized, portrayed, or referred to in a particular way by their spouse.
-
C.
spouse
Indicates that two entities are married to each other in a legally or socially recognized partnership.
-
D.
hasSpouseDescribed
Indicates that one entity is described as the spouse of another entity.
-
E.
coWifeOf
Indicates that two women are married to the same spouse at the same time, making them co-wives in a polygamous marriage.
- F. None of above.
Provenance (3 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_69c6882ed4c081909dc465a7cf8838be |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6d7ce3e7481908e0472b8faafa473 |
completed | March 27, 2026, 7:17 p.m. |
| PD | Predicate disambiguation | batch_69c6d0a12834819097d7e6c0b823745e |
completed | March 27, 2026, 6:46 p.m. |
Created at: March 27, 2026, 2:20 p.m.