Triple
T13588177
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sanbao |
E324623
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | He |
E111757
|
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: He | Statement: [Sanbao, givenName, He]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: He Context triple: [Sanbao, givenName, He]
-
A.
He
chosen
He is a common Chinese surname borne by numerous notable figures across politics, military, arts, and academia.
-
B.
Him
"Him" is a song best known as a 1979 soft rock hit by American singer-songwriter Rupert Holmes.
-
C.
Him
Him is a provocative 2001 sculpture by Italian artist Maurizio Cattelan depicting Adolf Hitler in a small, kneeling, childlike form, intended to confront viewers with the nature of evil and historical memory.
-
D.
Him
Him is a flamboyant, devil-like supervillain from *The Powerpuff Girls*, known for his sinister demeanor, eerie voice, and role as one of the show's primary antagonists.
-
E.
HE
HE is the Faculty of Health at Aarhus University, responsible for education and research in medical and health sciences.
- 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_69d80769100c819099111274614f5ed2 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dbb054c6008190839384ce26e8f71a |
completed | April 12, 2026, 2:46 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f76bc347b881908267455f3bdd50e8 |
completed | May 3, 2026, 3:37 p.m. |
Created at: April 9, 2026, 9:49 p.m.