Triple
T4928493
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Frank Lautenberg |
E110633
|
entity |
| Predicate | succeededBy |
P78
|
FINISHED |
| Object |
Jeff Chiesa
Jeff Chiesa is an American attorney and Republican politician who briefly served as a U.S. Senator from New Jersey after being appointed to fill a vacancy.
|
E480317
|
NE FINISHED |
How this triple was built (4 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: Jeff Chiesa | Statement: [Frank Lautenberg, succeededBy, Jeff Chiesa]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jeff Chiesa Context triple: [Frank Lautenberg, succeededBy, Jeff Chiesa]
-
A.
Luke Daboll
Luke Daboll is a member of the Daboll family, known primarily as a relative of NFL head coach Brian Daboll.
-
B.
Christian Daboll
Christian Daboll is a member of the Daboll family, related to NFL head coach Brian Daboll.
-
C.
Matt Eberflus
Matt Eberflus is an American football coach and former NFL defensive coordinator who serves as the head coach of the Chicago Bears.
-
D.
Matt Birk
Matt Birk is a former NFL center, primarily for the Minnesota Vikings and Baltimore Ravens, who became a Super Bowl champion and later an executive with the league.
-
E.
Ryan Ruocco
Ryan Ruocco is an American sportscaster best known for his play-by-play work on New York Yankees and Brooklyn Nets broadcasts and for calling WNBA games on national television.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Jeff Chiesa Triple: [Frank Lautenberg, succeededBy, Jeff Chiesa]
Generated description
Jeff Chiesa is an American attorney and Republican politician who briefly served as a U.S. Senator from New Jersey after being appointed to fill a vacancy.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Jeff Chiesa Target entity description: Jeff Chiesa is an American attorney and Republican politician who briefly served as a U.S. Senator from New Jersey after being appointed to fill a vacancy.
-
A.
Luke Daboll
Luke Daboll is a member of the Daboll family, known primarily as a relative of NFL head coach Brian Daboll.
-
B.
Christian Daboll
Christian Daboll is a member of the Daboll family, related to NFL head coach Brian Daboll.
-
C.
Matt Eberflus
Matt Eberflus is an American football coach and former NFL defensive coordinator who serves as the head coach of the Chicago Bears.
-
D.
Matt Birk
Matt Birk is a former NFL center, primarily for the Minnesota Vikings and Baltimore Ravens, who became a Super Bowl champion and later an executive with the league.
-
E.
Ryan Ruocco
Ryan Ruocco is an American sportscaster best known for his play-by-play work on New York Yankees and Brooklyn Nets broadcasts and for calling WNBA games on national television.
- F. None of above. chosen
Provenance (5 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_69bd4415190c8190817bee7ec9f9f944 |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd7038c12c81908a793b4a8768c28a |
completed | March 20, 2026, 4:05 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69be77af13308190b99f3aca0cb44c61 |
completed | March 21, 2026, 10:49 a.m. |
| NEDg | Description generation | batch_69be781aa8648190a58587e6f3e04e11 |
completed | March 21, 2026, 10:51 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69be78a0bdc88190bd8458658f15f879 |
completed | March 21, 2026, 10:53 a.m. |
Created at: March 20, 2026, 1:30 p.m.