Triple
T10608166
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Henry Simmons |
E275930
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Henry Simmons |
E275930
|
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: Henry Simmons | Statement: [Henry Simmons, name, Henry Simmons]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Henry Simmons Context triple: [Henry Simmons, name, Henry Simmons]
-
A.
Henry Simmons
chosen
Henry Simmons is an American actor best known for his roles on the television series NYPD Blue and Marvel's Agents of S.H.I.E.L.D.
-
B.
Johnny Simmons
Johnny Simmons is an American actor known for his roles in films like "Scott Pilgrim vs. the World," "The Perks of Being a Wallflower," and the Netflix series "Girlboss."
-
C.
Jake Simmonds
Jake Simmonds is a character from the Doctor Who universe who appears in the two-part story involving the rise of the Cybermen in a parallel Earth.
-
D.
Michael Simmons
Michael Simmons is a relatively common personal name shared by multiple individuals across fields such as sports, business, and the arts, rather than referring to one singular widely recognized figure.
-
E.
Dane Witherspoon
Dane Witherspoon was an American actor best known for his roles in daytime soap operas during the 1980s.
- 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_69d6aaf948d88190806cc3a8c47a3fb2 |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d6df4c38c881908f69bb757b8e03f5 |
completed | April 8, 2026, 11:05 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d95eb726bc8190a8db7357bd126016 |
completed | April 10, 2026, 8:33 p.m. |
Created at: April 8, 2026, 7:32 p.m.