Triple
T1024782
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | AAAS Philip Hauge Abelson Prize |
E22114
|
entity |
| Predicate | namedForNotableRole |
P12885
|
FINISHED |
| Object | former editor of Science journal |
—
|
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: former editor of Science journal | Statement: [AAAS Philip Hauge Abelson Prize, namedForNotableRole, former editor of Science journal]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: namedForNotableRole Context triple: [AAAS Philip Hauge Abelson Prize, namedForNotableRole, former editor of Science journal]
-
A.
namedPersonRole
chosen
Indicates that a person is identified by name as holding a specific role or position in a given context.
-
B.
hasFamousNamesakeRole
Indicates that an entity has a role or position that shares its name with a well-known or historically notable person.
-
C.
notableWorkRole
Indicates that a person’s role or position is specifically associated with the creation, performance, or contribution to a notable work.
-
D.
notableCharacterType
Indicates that an entity is a notable or prominent example of a specified character type or role.
-
E.
namedForPoliticalRole
Indicates that one entity is named after another entity specifically because of that entity’s political office, position, or role.
- 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_69a493d6e380819097b384986ffc315c |
completed | March 1, 2026, 7:30 p.m. |
| NER | Named-entity recognition | batch_69a4b7e28df08190b5be7794442a6f21 |
completed | March 1, 2026, 10:04 p.m. |
| PD | Predicate disambiguation | batch_69a4b72619cc8190932fdfa0c74dc055 |
completed | March 1, 2026, 10:01 p.m. |
Created at: March 1, 2026, 7:41 p.m.