Triple
T29075928
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Philip Lombard |
E735939
|
entity |
| Predicate | isSuspectedBy |
P91911
|
FINISHED |
| Object | other guests on Soldier Island |
—
|
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: other guests on Soldier Island | Statement: [Philip Lombard, isSuspectedBy, other guests on Soldier Island]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isSuspectedBy Context triple: [Philip Lombard, isSuspectedBy, other guests on Soldier Island]
-
A.
isSuspiciousOf
chosen
Indicates that one entity believes another entity or situation may be untrustworthy, harmful, or involved in wrongdoing.
-
B.
susceptibleTo
Indicates that one entity is vulnerable or likely to be affected, harmed, or influenced by another entity or factor.
-
C.
suspectedPerpetrator
Indicates that an entity is believed or alleged to be the person responsible for committing a particular harmful or illegal act.
-
D.
suspectedSupporter
Indicates that one entity is believed or suspected to support, assist, or be aligned with another entity, but this support is not confirmed.
-
E.
isSanctionedBy
Indicates that an entity is subject to official penalties, restrictions, or punitive measures imposed by another authority or organization.
- 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_69f077e9b0a48190bb79548279cb7f64 |
completed | April 28, 2026, 9:03 a.m. |
| NER | Named-entity recognition | batch_69f660fdf5f08190b36e506672b64683 |
completed | May 2, 2026, 8:39 p.m. |
| PD | Predicate disambiguation | batch_69f659d297cc8190b2b962ba30a1edb3 |
completed | May 2, 2026, 8:08 p.m. |
Created at: April 28, 2026, 10:23 a.m.