Triple
T10648862
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Madeleine Swann |
E250908
|
entity |
| Predicate | childhoodTrauma |
P41242
|
FINISHED |
| Object | attack by assassin at family home |
—
|
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: attack by assassin at family home | Statement: [Madeleine Swann, childhoodTrauma, attack by assassin at family home]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: childhoodTrauma Context triple: [Madeleine Swann, childhoodTrauma, attack by assassin at family home]
-
A.
trauma
chosen
Indicates that an entity has experienced a deeply distressing or harmful event or series of events that cause lasting psychological or emotional impact.
-
B.
traumaticChildhoodExperienceLocation
Indicates the place or setting where a person’s traumatic childhood experience occurred.
-
C.
typeOfAbuse
Indicates the specific kind or category of abusive behavior that one entity inflicts on another.
-
D.
traumaLevel
Indicates the degree or severity of trauma experienced or present in relation to an entity or event.
-
E.
abuseSurvivorOf
Indicates that one entity has previously suffered abuse perpetrated by the other entity.
- 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_69d6aa5a4c4881908f39be6efe5981e5 |
completed | April 8, 2026, 7:19 p.m. |
| NER | Named-entity recognition | batch_69d6dfe3ea08819094a945ebb7fc4d3a |
completed | April 8, 2026, 11:08 p.m. |
| PD | Predicate disambiguation | batch_69d6dd83b114819098e84dc658e82d7e |
completed | April 8, 2026, 10:58 p.m. |
Created at: April 8, 2026, 9:06 p.m.