Triple
T15636624
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mrs. Mott |
E375960
|
entity |
| Predicate | reasonForHusbandSuicide |
P119549
|
FINISHED |
| Object | sexual harassment accusations and investigation |
—
|
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: sexual harassment accusations and investigation | Statement: [Mrs. Mott, reasonForHusbandSuicide, sexual harassment accusations and investigation]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: reasonForHusbandSuicide Context triple: [Mrs. Mott, reasonForHusbandSuicide, sexual harassment accusations and investigation]
-
A.
killedHimselfAfter
Indicates that an individual committed suicide following a specified event or time.
-
B.
newsOfHusbandsDeathBroughtBy
Indicates that the news of a husband's death is delivered or communicated by a particular person or source.
-
C.
reasonForShamMarriage
Indicates that one entity is the underlying motive or justification for another entity entering into a sham (fraudulent or non-genuine) marriage.
-
D.
reasonForMurder
Indicates the motive or underlying cause that led someone to commit a murder.
-
E.
deathMotivation
Indicates a relationship where one entity’s death serves as the reason, cause, or motivating factor for another entity’s actions or state.
- 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_69d85cd035a48190b73d5579ab73969a |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69e04eba51f08190ac5d9de7fc89405a |
completed | April 16, 2026, 2:51 a.m. |
| PD | Predicate disambiguation | batch_69deda868d4481908f4bce1c64d2902a |
completed | April 15, 2026, 12:23 a.m. |
| PDg | Predicate description generation | batch_69dff7f3016c8190ac68d76e65e07af4 |
completed | April 15, 2026, 8:41 p.m. |
Created at: April 10, 2026, 4:14 a.m.