Triple
T34722091
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mike Knoop |
E1000943
|
entity |
| Predicate | roleAtZapier |
P181551
|
FINISHED |
| Object | product strategy |
—
|
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: product strategy | Statement: [Mike Knoop, roleAtZapier, product strategy]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: roleAtZapier Context triple: [Mike Knoop, roleAtZapier, product strategy]
-
A.
roleInIntegration
Indicates the specific function or responsibility an entity has within a combined or coordinated system, process, or integration.
-
B.
roleInTeamViewer
Indicates the specific function, position, or responsibility an entity holds within a TeamViewer-related team or collaborative setup.
-
C.
roleAtHeroku
Indicates that an entity holds or held a specific role or position at the organization Heroku.
-
D.
roleOnPern
Indicates the specific function, position, or duty an entity holds within the context of Pern.
-
E.
roleAtStreamlit
Indicates the specific role, position, or job function an entity holds within the organization Streamlit.
- 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_69f76daeb6e48190a4c9a6b0edc80f72 |
completed | May 3, 2026, 3:45 p.m. |
| NER | Named-entity recognition | batch_69f77ffa6b68819090257fed3802c239 |
completed | May 3, 2026, 5:03 p.m. |
| PD | Predicate disambiguation | batch_69f7795978c481909e152cd1bd02dd07 |
completed | May 3, 2026, 4:35 p.m. |
| PDg | Predicate description generation | batch_69f77ff804f08190b431a31e6179ace4 |
completed | May 3, 2026, 5:03 p.m. |
Created at: May 3, 2026, 3:59 p.m.