Triple
T30922239
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Montrose Freeman |
E787756
|
entity |
| Predicate | hasChildhoodTrauma |
P16448
|
FINISHED |
| Object | abuse by his father |
—
|
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: abuse by his father | Statement: [Montrose Freeman, hasChildhoodTrauma, abuse by his father]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasChildhoodTrauma Context triple: [Montrose Freeman, hasChildhoodTrauma, abuse by his father]
-
A.
hasTragicPast
chosen
Indicates that an entity has experienced a significantly sorrowful or traumatic history that influences its present state or characterization.
-
B.
traumaticChildhoodExperienceLocation
Indicates the place or setting where a person’s traumatic childhood experience occurred.
-
C.
livedAfterAssault
Indicates that the subject continued to live for some period of time following the occurrence of an assault.
-
D.
hasNightmares
Indicates that an entity experiences disturbing or frightening dreams, typically during sleep.
-
E.
typeOfVictimization
Indicates the specific kind or category of harmful act, abuse, or exploitation experienced by a victim.
- 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_69f224bfaca88190b9d0dfcc86297fe9 |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_69fd49f6dbac81909744373a357b7982 |
completed | May 8, 2026, 2:27 a.m. |
| PD | Predicate disambiguation | batch_69fd48ed68f481908374183c66a6b055 |
completed | May 8, 2026, 2:22 a.m. |
Created at: April 29, 2026, 8:51 p.m.