Triple
T31373179
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | the Murphy family |
E800219
|
entity |
| Predicate | conflictsShapedBy |
P174954
|
FINISHED |
| Object | Connor Murphy |
—
|
NE NERFINISHED |
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: Connor Murphy | Statement: [the Murphy family, conflictsShapedBy, Connor Murphy]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: conflictsShapedBy Context triple: [the Murphy family, conflictsShapedBy, Connor Murphy]
-
A.
conflictedBetween
Indicates being torn or uncertain between two or more options, positions, or commitments.
-
B.
conflictIn
Indicates that one entity is involved in, associated with, or occurs within a particular conflict or dispute.
-
C.
conflictsCovered
Indicates that the conflicts or disputes between the involved entities have been addressed or are included within a specified agreement, scope, or coverage.
-
D.
conflictResolvedBy
Indicates that a conflict or dispute is settled or addressed through the actions, decisions, or intervention of a specified entity or process.
-
E.
conflictsOccurIn
Indicates that one or more conflicts take place within, or are situated in, a specified context, location, or setting.
- 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_69f224e84da08190abfc2f17494a33c8 |
completed | April 29, 2026, 3:34 p.m. |
| NER | Named-entity recognition | batch_69f6cd9bae8c8190b528641499162a75 |
completed | May 3, 2026, 4:22 a.m. |
| PD | Predicate disambiguation | batch_69f6cc1470808190b70cdfd7a6395670 |
completed | May 3, 2026, 4:16 a.m. |
| PDg | Predicate description generation | batch_69f6cd119cac8190a0b3ebe8b9c742c2 |
completed | May 3, 2026, 4:20 a.m. |
Created at: April 29, 2026, 9:18 p.m.