Triple
T14246533
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Marcus Ashcroft |
E353147
|
entity |
| Predicate | WillAshcroftProfession |
P29120
|
FINISHED |
| Object | Australian rules footballer |
—
|
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: Australian rules footballer | Statement: [Marcus Ashcroft, WillAshcroftProfession, Australian rules footballer]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: WillAshcroftProfession Context triple: [Marcus Ashcroft, WillAshcroftProfession, Australian rules footballer]
-
A.
professionOfCandidate
chosen
Indicates that one entity is the profession or occupational role held by the candidate entity.
-
B.
notableFormerOfficeHolderRole
Indicates that an entity previously held a particular official position or role that is considered notable.
-
C.
hasPoliticalRole
Indicates that an entity holds, has held, or is assigned a specific political office, function, or position in relation to another entity or context.
-
D.
Vance Law
Indicates a relationship or action involving the person named Vance Law, such as participation in an event, authorship, or association with another entity.
-
E.
professionBeforePolitics
Indicates that a person’s occupation or career occurred prior to their involvement in politics.
- 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_69d8278adc7c8190a9218d69bce3c4e6 |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de629464f88190817b190731bab156 |
completed | April 14, 2026, 3:51 p.m. |
| PD | Predicate disambiguation | batch_69de05c09b7881908acbca18bd7d997c |
completed | April 14, 2026, 9:15 a.m. |
Created at: April 10, 2026, 1:08 a.m.