Triple
T19134092
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Suitors of Penelope |
E468388
|
entity |
| Predicate | relationToPenelope |
P134551
|
FINISHED |
| Object | unwanted suitors |
—
|
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: unwanted suitors | Statement: [Suitors of Penelope, relationToPenelope, unwanted suitors]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: relationToPenelope Context triple: [Suitors of Penelope, relationToPenelope, unwanted suitors]
-
A.
relationshipToPete
Indicates the specific type of relationship or connection that an entity has to Pete.
-
B.
relationshipToRelative
Indicates the specific familial connection or kinship role that one person has in relation to a particular relative.
-
C.
relationToVonMaur
Indicates a specified type of relationship or association that an entity has with Von Maur.
-
D.
relationshipToTheDude
Indicates the specific type of personal or social relationship that one entity has to the individual referred to as "the Dude."
-
E.
relationshipToMother
Indicates the specific familial or social connection an entity has to its mother.
- 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_69d8dd0796a48190b34ce4cd9d3f3be5 |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5e3eb325081909035beefd1c9daf0 |
completed | April 20, 2026, 8:29 a.m. |
| PD | Predicate disambiguation | batch_69e4b9b085288190b974d649e12e0844 |
completed | April 19, 2026, 11:17 a.m. |
| PDg | Predicate description generation | batch_69e4bfe9ef7081908a74a57d1fc731ea |
completed | April 19, 2026, 11:43 a.m. |
Created at: April 10, 2026, 12:05 p.m.