Triple
T7857785
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Weiner |
E182419
|
entity |
| Predicate | hasNotableBearer |
P458
|
FINISHED |
| Object | Michael Weiner |
E33669
|
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: Michael Weiner | Statement: [Weiner, hasNotableBearer, Michael Weiner]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Michael Weiner Context triple: [Weiner, hasNotableBearer, Michael Weiner]
-
A.
Michael Weiner
chosen
Michael Weiner was an American labor lawyer who served as the executive director of the Major League Baseball Players Association, where he was known for his influential role in player labor relations and collective bargaining.
-
B.
Jon Klein
Jon Klein is a British guitarist best known for his work with the influential post-punk band Siouxsie and the Banshees.
-
C.
Chris Hughes
Chris Hughes is an American entrepreneur and philanthropist best known as one of the co-founders of Facebook and a former owner of The New Republic magazine.
-
D.
Stephen Haise
Stephen Haise is the son of American astronaut Fred Haise, one of the Apollo 13 crew members.
-
E.
Jeff Weiner
Jeff Weiner is an American business executive best known for serving as the longtime CEO of LinkedIn, where he oversaw the company’s rapid growth and acquisition by Microsoft.
- 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_69ca82887fd48190975896bf38c4596b |
completed | March 30, 2026, 2:02 p.m. |
| NER | Named-entity recognition | batch_69cb1a76f8648190976b488d0d8658ef |
completed | March 31, 2026, 12:51 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cb5b32eaf88190aae55aaeb963c50b |
completed | March 31, 2026, 5:27 a.m. |
Created at: March 30, 2026, 4:52 p.m.