Triple
T6495525
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Alkermes |
E148148
|
entity |
| Predicate | chairman |
P377
|
FINISHED |
| Object | Richard Pops |
E597291
|
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: Richard Pops | Statement: [Alkermes, chairman, Richard Pops]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Richard Pops Context triple: [Alkermes, chairman, Richard Pops]
-
A.
Richard Pops
chosen
Richard Pops is a biotechnology executive best known as the longtime leader and founding figure behind the biopharmaceutical company Alkermes.
-
B.
Ron Rich
Ron Rich was an American actor best known for his role in the 1966 Billy Wilder comedy film "The Fortune Cookie."
-
C.
Nicholas Poppe
Nicholas Poppe was a prominent 20th-century linguist and Turkologist known for his influential work on the classification and comparative study of Central Asian and so-called Altaic languages.
-
D.
Alex Poots
Alex Poots is a British arts curator and artistic director known for leading major cultural institutions such as the Manchester International Festival and The Shed in New York City.
-
E.
Tim Lippe
Tim Lippe is the naive, small-town insurance salesman who serves as the protagonist of the comedy film "Cedar Rapids."
- 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_69c009088f3081909cd467b05919de30 |
completed | March 22, 2026, 3:21 p.m. |
| NER | Named-entity recognition | batch_69c06ab958808190bd85e007e925ffc4 |
completed | March 22, 2026, 10:18 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c66386d48881908151bdf12a3d85ad |
completed | March 27, 2026, 11:01 a.m. |
Created at: March 22, 2026, 4:53 p.m.