Triple
T37353528
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Figure 8 Films |
E927390
|
entity |
| Predicate | Sister Wives_focus |
P187763
|
FINISHED |
| Object | polygamy |
—
|
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: polygamy | Statement: [Figure 8 Films, Sister Wives_focus, polygamy]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: Sister Wives_focus Context triple: [Figure 8 Films, Sister Wives_focus, polygamy]
-
A.
الديانة بعد الزواج
Indicates the religious affiliation a person adopts or follows after getting married.
-
B.
sonInLaw
Indicates that one person is the husband of another person's child.
-
C.
broughtInWivesForSonsFrom
Indicates that someone obtained wives for their sons from a specified source or place.
-
D.
hasJealousHusbandCharacter
Indicates that an entity includes or involves a husband character who experiences or expresses jealousy in the context of the relationship or narrative.
-
E.
hasAnotherWife
Indicates that a person is married to more than one wife, specifying the existence of an additional wife beyond the first.
- 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_69f76eb5e034819088e53ab5b7909a68 |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_69fb8c38a9688190be524246f5682107 |
completed | May 6, 2026, 6:45 p.m. |
| PD | Predicate disambiguation | batch_69fb5a9c6e0481908565bd849e869b24 |
completed | May 6, 2026, 3:13 p.m. |
| PDg | Predicate description generation | batch_69fb8c37931c81909da038c18ed9add2 |
completed | May 6, 2026, 6:45 p.m. |
Created at: May 3, 2026, 4:16 p.m.