Triple
T3094123
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | ACM President |
E64551
|
entity |
| Predicate | externalRole |
P45873
|
FINISHED |
| Object | spokesperson for ACM |
—
|
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: spokesperson for ACM | Statement: [ACM President, externalRole, spokesperson for ACM]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: externalRole Context triple: [ACM President, externalRole, spokesperson for ACM]
-
A.
possibleRole
Indicates that an entity is capable of or eligible to serve in a particular role or function in a given context.
-
B.
commercialRole
Indicates that an entity holds a position or function related to commercial activities, such as sales, marketing, or business development, in relation to another entity.
-
C.
accessRole
Indicates the specific permissions or level of authority an entity has when accessing another entity or resource.
-
D.
unitRole
Indicates the functional role or purpose that a unit serves within a larger system or context.
-
E.
underlyingCompanyRole
Indicates the specific function, position, or responsibility an entity holds within or in relation to a company.
- 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_69ad857c97d88190b26f9b1c90839c77 |
completed | March 8, 2026, 2:19 p.m. |
| NER | Named-entity recognition | batch_69ada23876a4819095bfc28640d8c200 |
completed | March 8, 2026, 4:22 p.m. |
| PD | Predicate disambiguation | batch_69ad9ded78f881908be6fc0fb7c35764 |
completed | March 8, 2026, 4:03 p.m. |
| PDg | Predicate description generation | batch_69ada0f6fef48190b13898be383a246b |
completed | March 8, 2026, 4:16 p.m. |
Created at: March 8, 2026, 3:03 p.m.