Triple
T35974983
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ben Gunn |
E1040386
|
entity |
| Predicate | maroonedBy |
P184300
|
FINISHED |
| Object | his pirate crew |
—
|
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: his pirate crew | Statement: [Ben Gunn, maroonedBy, his pirate crew]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: maroonedBy Context triple: [Ben Gunn, maroonedBy, his pirate crew]
-
A.
wasMarkedBy
Indicates that an entity bears a mark, sign, or indication that was applied or caused by another entity.
-
B.
bannedBy
Indicates that an entity is prohibited or disallowed as a result of a decision or action taken by another entity.
-
C.
boardedBy
Indicates that an entity (such as a vehicle, vessel, or structure) is entered or mounted by another entity (such as a person or group), typically for travel, inspection, or occupation.
-
D.
marked
Indicates that one entity has been identified, labeled, or highlighted in some way by another entity.
-
E.
condemnedBy
Indicates that an entity is judged, denounced, or declared wrong or unacceptable by another entity.
- 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_69f76e27758c81909b711cf38a130aaf |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_69f7ad15f3b88190b7c9742a734fec5f |
completed | May 3, 2026, 8:16 p.m. |
| PD | Predicate disambiguation | batch_69f7ab75387c819091afc3c2128eb903 |
completed | May 3, 2026, 8:09 p.m. |
| PDg | Predicate description generation | batch_69f7acad20388190b9b10270ca9bdfbc |
completed | May 3, 2026, 8:14 p.m. |
Created at: May 3, 2026, 4:07 p.m.