Triple
T7977120
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Stewart Butterfield |
E185473
|
entity |
| Predicate | coFoundedWith |
P2835
|
FINISHED |
| Object | Cal Henderson |
E282023
|
NE 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: Cal Henderson | Statement: [Stewart Butterfield, coFoundedWith, Cal Henderson]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Cal Henderson Context triple: [Stewart Butterfield, coFoundedWith, Cal Henderson]
-
A.
Cal Henderson
chosen
Cal Henderson is a British software engineer and entrepreneur best known as the co-founder and CTO of the workplace communication platform Slack.
-
B.
Bo Henderson
Bo Henderson is an American R&B and soul singer best known for his tenure as a lead vocalist with the legendary Motown group The Temptations in the 1990s.
-
C.
Cam Henderson
Cam Henderson was an influential American basketball coach known for pioneering the fast break and the 2–3 zone defense, most prominently during his long tenure at Marshall University.
-
D.
Michael Henderson
Michael Henderson is an author best known for writing the book "Window Seat."
-
E.
Bill Henderson
Bill Henderson was an American jazz vocalist and character actor known for his rich baritone voice and numerous film and television appearances.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69ca829851908190b4e03829353ee7c3 |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cb3bf716508190b4245bd5d89ae8c4 |
completed | March 31, 2026, 3:13 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cd33e50f0c81909c96da2d78f17ffd |
completed | April 1, 2026, 3:04 p.m. |
Created at: March 30, 2026, 5:14 p.m.