Triple
T7199010
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Arrest of Lee Harvey Oswald |
E168688
|
entity |
| Predicate | hasImmediateCause |
P708
|
FINISHED |
| Object | reports of a suspicious man entering the Texas Theatre without a ticket |
—
|
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: reports of a suspicious man entering the Texas Theatre without a ticket | Statement: [Arrest of Lee Harvey Oswald, hasImmediateCause, reports of a suspicious man entering the Texas Theatre without a ticket]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasImmediateCause Context triple: [Arrest of Lee Harvey Oswald, hasImmediateCause, reports of a suspicious man entering the Texas Theatre without a ticket]
-
A.
hasCause
chosen
Indicates that one entity is the reason for, or brings about, the occurrence or existence of another entity or event.
-
B.
hasProposedCause
Indicates that one entity is suggested or hypothesized to be the cause or explanation for another entity or event.
-
C.
immediateCauseDate
Indicates the specific date on which an event or condition directly caused another event or outcome to occur.
-
D.
causeSupported
Indicates that an entity provides backing, endorsement, or assistance to a particular cause or initiative.
-
E.
hasUpstreamImpactOn
Indicates that one entity’s actions, changes, or outputs affect another entity that is positioned earlier in a process, flow, or dependency chain.
- 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_69c68a5376748190bb500f03df86e93e |
completed | March 27, 2026, 1:46 p.m. |
| NER | Named-entity recognition | batch_69c6e92b8bc08190bfcdd34ce42e3448 |
completed | March 27, 2026, 8:31 p.m. |
| PD | Predicate disambiguation | batch_69c6e757fed4819091b0a096e3befc3a |
completed | March 27, 2026, 8:23 p.m. |
Created at: March 27, 2026, 2:52 p.m.