Triple
T28520239
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Seeks help for Melinda Moores’s brain tumor |
E721741
|
entity |
| Predicate | helpRequestedFromCharacter |
P31442
|
FINISHED |
| Object | Paul Edgecombe |
—
|
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: Paul Edgecombe | Statement: [Seeks help for Melinda Moores’s brain tumor, helpRequestedFromCharacter, Paul Edgecombe]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: helpRequestedFromCharacter Context triple: [Seeks help for Melinda Moores’s brain tumor, helpRequestedFromCharacter, Paul Edgecombe]
-
A.
helpsCharacterType
Indicates that one character type provides assistance or support to another character type.
-
B.
guidesCharacter
Indicates that one entity provides direction, advice, or mentorship to another entity (the character) in their actions or development.
-
C.
offeredByCharacter
Indicates that something (such as an item, service, or opportunity) is being presented or proposed by a particular character to another party.
-
D.
supportedByCharacter
Indicates that an entity receives backing, assistance, or endorsement from a specific character.
-
E.
soughtAssistanceFrom
chosen
Indicates that one entity actively requested help, support, or guidance from another entity.
- 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_69f01a5cbcc4819083fb4e723378713e |
completed | April 28, 2026, 2:24 a.m. |
| NER | Named-entity recognition | batch_69f64fa169e48190b061b3b3014a079d |
completed | May 2, 2026, 7:25 p.m. |
| PD | Predicate disambiguation | batch_69f64cb0d8008190912e1430cfaf92aa |
completed | May 2, 2026, 7:12 p.m. |
Created at: April 28, 2026, 3:20 a.m.