Triple
T20327401
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bayer family |
E492375
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object | Mensa |
—
|
NE NERFINISHED |
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: Mensa | Statement: [Bayer family, hasPart, Mensa]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mensa Context triple: [Bayer family, hasPart, Mensa]
-
A.
Mensa
chosen
Mensa is a faint southern constellation named after Table Mountain, notable for containing part of the Large Magellanic Cloud.
-
B.
Thagard
Thagard is the surname of Norman E. Thagard, an American physician, former NASA astronaut, and the first American to fly on a Russian spacecraft.
-
C.
Egghead
Egghead is a Marvel Comics supervillain and criminal mastermind, often depicted as a brilliant but deranged scientist and recurring enemy of Ant-Man.
-
D.
Lovestone
Lovestone is a surname most notably associated with Jay Lovestone, an American communist leader who later became an influential anti-communist labor organizer.
-
E.
Gardner
Gardner is a common English surname borne by numerous notable individuals across fields such as literature, science, and the arts.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e0b4a0134081909113563e1c3ba68a |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e677e513608190b70527cd9f4d5da3 |
completed | April 20, 2026, 7 p.m. |
Created at: April 16, 2026, 11:21 a.m.