Triple
T1486886
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Michael O'Laughlen |
E29484
|
entity |
| Predicate | implicatedIn |
P12435
|
FINISHED |
| Object | conspiracy to assassinate Abraham Lincoln |
—
|
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: conspiracy to assassinate Abraham Lincoln | Statement: [Michael O'Laughlen, implicatedIn, conspiracy to assassinate Abraham Lincoln]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: implicatedIn Context triple: [Michael O'Laughlen, implicatedIn, conspiracy to assassinate Abraham Lincoln]
-
A.
oftenInvolvedWith
Indicates that one entity frequently participates in or is commonly associated with activities, events, or situations involving another entity.
-
B.
accusedIn
Indicates that a person or entity is formally charged with wrongdoing in a particular case, proceeding, or context.
-
C.
formerlyInvolved
Indicates that an entity previously participated in or was associated with another entity or activity, but is no longer involved.
-
D.
frontInvolved
Indicates that an entity is directly involved in or associated with the front (e.g., front line, front-facing part, or leading edge) of another entity or situation.
-
E.
complicitIn
chosen
Indicates involvement in or knowing participation in a wrongful, illegal, or unethical act carried out by another party.
- 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_69a498da82e08190ba833330d05f380f |
completed | March 1, 2026, 7:51 p.m. |
| NER | Named-entity recognition | batch_69a4c6a3325881909bbc55efc04ad60f |
completed | March 1, 2026, 11:07 p.m. |
| PD | Predicate disambiguation | batch_69a4c486eacc81909c272f9bdf50a7c3 |
completed | March 1, 2026, 10:58 p.m. |
Created at: March 1, 2026, 8:12 p.m.