Triple
T21005298
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Death of Captain Stacy |
E517398
|
entity |
| Predicate | relationshipAffected |
P140371
|
FINISHED |
| Object | Peter Parker and Gwen Stacy’s relationship |
—
|
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: Peter Parker and Gwen Stacy’s relationship | Statement: [The Death of Captain Stacy, relationshipAffected, Peter Parker and Gwen Stacy’s relationship]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: relationshipAffected Context triple: [The Death of Captain Stacy, relationshipAffected, Peter Parker and Gwen Stacy’s relationship]
-
A.
affectsRelationshipBetween
chosen
Indicates that one entity causes a change or influence on the nature, quality, or status of the relationship between two or more other entities.
-
B.
affectedPerson
Indicates that a particular person is impacted or influenced by an event, action, or condition.
-
C.
affectedCompany
Indicates that a company is impacted or influenced by a particular event, action, or entity.
-
D.
relationshipImpact
Indicates how one entity’s relationship with another affects or changes those entities or their interaction.
-
E.
relationshipEnd
Indicates that a previously existing relationship between entities has been terminated or has come to an end.
- 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_69e0b50192308190a284fcc89dd23a49 |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e6fc3b25ec8190aa4530d1f0bb2b9e |
completed | April 21, 2026, 4:25 a.m. |
| PD | Predicate disambiguation | batch_69e5dbec80708190a49bccab7ff97e7b |
completed | April 20, 2026, 7:55 a.m. |
Created at: April 16, 2026, 1:52 p.m.