Triple
T4390639
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Can You Say... Hero? |
E99351
|
entity |
| Predicate | author |
P4
|
FINISHED |
| Object | Tom Junod |
E435202
|
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: Tom Junod | Statement: [Can You Say... Hero?, author, Tom Junod]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tom Junod Context triple: [Can You Say... Hero?, author, Tom Junod]
-
A.
Tom Junod
chosen
Tom Junod is an American journalist and Esquire writer known for his deeply reported, emotionally resonant profiles and feature stories.
-
B.
Roger Wehrli
Roger Wehrli is a Hall of Fame American football cornerback best known for his standout career with the St. Louis Cardinals in the NFL during the 1970s.
-
C.
Jon Jerde
Jon Jerde was an influential American architect and urban designer known for his experiential, entertainment-focused commercial complexes and innovative approach to public space.
-
D.
Mark Gustafson
Mark Gustafson is an American stop-motion animation director and animator best known for co-directing Guillermo del Toro's acclaimed film "Pinocchio."
-
E.
Luc Jobin
Luc Jobin is a Canadian business executive best known for serving as president and CEO of Canadian National Railway and holding senior leadership roles in major international corporations.
- 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_69b3454f739481909ff6c28331f0c0b9 |
completed | March 12, 2026, 10:59 p.m. |
| NER | Named-entity recognition | batch_69b352843d7c8190929b94c94eaa63df |
completed | March 12, 2026, 11:55 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b627e47ff48190b5aea21e4af773de |
completed | March 15, 2026, 3:30 a.m. |
Created at: March 12, 2026, 11:19 p.m.