Triple
T19980909
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fair Youth |
E493812
|
entity |
| Predicate | relationshipToSpeaker |
P138157
|
FINISHED |
| Object | object of intense affection |
—
|
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: object of intense affection | Statement: [Fair Youth, relationshipToSpeaker, object of intense affection]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: relationshipToSpeaker Context triple: [Fair Youth, relationshipToSpeaker, object of intense affection]
-
A.
relationshipToAudience
Indicates the nature or type of connection an entity has with a specified audience, such as role, stance, or relevance.
-
B.
relationshipToEvent
Indicates the specific way an entity is connected or related to a particular event.
-
C.
representedBySpeaker
Indicates that something is expressed, conveyed, or symbolized through a particular speaker as its representative voice or agent.
-
D.
relationshipToParliament
Indicates the nature or type of formal connection an entity has with a parliament, such as its role, status, or institutional relationship to that legislative body.
-
E.
statusAsSpeaker
Indicates that an entity holds or is assigned the role or capacity of a speaker in a given context or event.
- 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_69da626a67648190af9653832a3aeced |
completed | April 11, 2026, 3:02 p.m. |
| NER | Named-entity recognition | batch_69e65d12d968819081e315ec4585cd9f |
completed | April 20, 2026, 5:06 p.m. |
| PD | Predicate disambiguation | batch_69e537fae79c81909eae39500766d0b6 |
completed | April 19, 2026, 8:15 p.m. |
| PDg | Predicate description generation | batch_69e543c42c688190a22f4d31ec692377 |
completed | April 19, 2026, 9:06 p.m. |
Created at: April 11, 2026, 3:28 p.m.