Triple
T11938683
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Eckhard Pfeiffer |
E284117
|
entity |
| Predicate | succeededBy |
P78
|
FINISHED |
| Object | Michael Capellas |
E110680
|
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 Capellas | Statement: [Eckhard Pfeiffer, succeededBy, Michael Capellas]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Michael Capellas Context triple: [Eckhard Pfeiffer, succeededBy, Michael Capellas]
-
A.
Michael Capellas
chosen
Michael Capellas is an American technology executive best known for serving as CEO of Compaq and later playing a key role in its merger with Hewlett-Packard.
-
B.
Brian Capener
Brian Capener is a cinematographer known for his work on the film "Alan & Naomi."
-
C.
Leon Capetanos
Leon Capetanos is an American screenwriter best known for his work on offbeat comedies, including collaborations with director Paul Mazursky.
-
D.
Mitchell Kapner
Mitchell Kapner is an American screenwriter best known for co-writing the fantasy film "Oz the Great and Powerful" and for his work in both film and television.
-
E.
Christopher Cibelli
Christopher Cibelli is a film editor known for his work on the basketball drama movie "Above the Rim."
- 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_69d6ab2ce9c48190b5d39511b524f666 |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d903415d2481909d84e6727454b9fe |
completed | April 10, 2026, 2:03 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f4409a40dc81909d87c50601b98b78 |
completed | May 1, 2026, 5:56 a.m. |
Created at: April 8, 2026, 9:45 p.m.