Triple
T37889201
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ekwefi |
E945078
|
entity |
| Predicate | firstAttractionToOkonkwo |
P204455
|
FINISHED |
| Object | impressed by Okonkwo’s wrestling fame |
—
|
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: impressed by Okonkwo’s wrestling fame | Statement: [Ekwefi, firstAttractionToOkonkwo, impressed by Okonkwo’s wrestling fame]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: firstAttractionToOkonkwo Context triple: [Ekwefi, firstAttractionToOkonkwo, impressed by Okonkwo’s wrestling fame]
-
A.
firstSeriesFocusesOn
Indicates that the initial installment or season in a series primarily centers on or is devoted to a particular subject, character, or theme.
-
B.
firstAVA
Indicates that the subject is the first entity (e.g., version, appearance, or instance) in a sequence associated with the object.
-
C.
openingTrackOfFilm
Indicates that a musical track serves as the first or introductory piece in the soundtrack of a specified film.
-
D.
firstToFeature
Indicates that one entity was the earliest or initial subject to exhibit, include, or present another entity in a given context.
-
E.
parentOfProtagonistOf
Indicates that one entity is the parent of the main character (protagonist) of another entity.
- 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_69f76ef02668819089e7940c4001af5e |
completed | May 3, 2026, 3:51 p.m. |
| NER | Named-entity recognition | batch_6a037cae084081909004d77514c5f286 |
completed | May 12, 2026, 7:17 p.m. |
| PD | Predicate disambiguation | batch_6a037a192a008190a9917688a9e804f4 |
completed | May 12, 2026, 7:06 p.m. |
| PDg | Predicate description generation | batch_6a037c84ecbc81908232e5215355f43b |
completed | May 12, 2026, 7:16 p.m. |
Created at: May 3, 2026, 4:19 p.m.