Triple
T11186794
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Henry Martin Tupper |
E264689
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Tupper |
E207762
|
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: Tupper | Statement: [Henry Martin Tupper, familyName, Tupper]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tupper Context triple: [Henry Martin Tupper, familyName, Tupper]
-
A.
Tupper
chosen
Tupper is a surname of English and Scottish origin borne by various notable individuals across fields such as politics, literature, and the arts.
-
B.
Topshe
Topshe is the young cousin and loyal assistant of detective Feluda in Satyajit Ray’s popular Bengali mystery stories.
-
C.
Ceci
Ceci is a given name or nickname, typically used as a shortened, informal form of the name Cecilia.
-
D.
Utz
Utz is a 1992 British drama film, based on Bruce Chatwin’s novel, about an eccentric porcelain collector in Communist-era Prague.
-
E.
T-Spoon
T-Spoon is the nickname of Teresa Weatherspoon, a former WNBA star point guard and Hall of Famer known for her defensive prowess and clutch play.
- 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_69d6aa9eb9248190b20211772621b4bc |
completed | April 8, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69d7e8abbeac8190ad6e419258999f4e |
completed | April 9, 2026, 5:58 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e483d0f4548190b97c7725a9f7c0e6 |
completed | April 19, 2026, 7:27 a.m. |
Created at: April 8, 2026, 9:29 p.m.