Triple
T17403069
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Zakim Bridge |
E423143
|
entity |
| Predicate | designedBy |
P184
|
FINISHED |
| Object |
Christian Menn
Christian Menn was a renowned Swiss civil engineer celebrated for his innovative and elegant bridge designs.
|
E1266969
|
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: Christian Menn | Statement: [Zakim Bridge, designedBy, Christian Menn]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Christian Menn Context triple: [Zakim Bridge, designedBy, Christian Menn]
-
A.
Christian Rapp
Christian Rapp is a Dutch architect known for his role in the redevelopment and urban design of Amsterdam’s KNSM Island.
-
B.
Martin Suter
Martin Suter is a Swiss author best known for his popular contemporary novels and crime fiction, including the successful "Business Class" stories and the Allmen detective series.
-
C.
Christian Ditter
Christian Ditter is a German film and television director, producer, and screenwriter known for works such as "How to Be Single," "Love, Rosie," and the Netflix series "Girlboss."
-
D.
Christian Leumann
Christian Leumann is a Swiss chemist and academic leader who serves as the rector of the University of Bern.
-
E.
Michael Menzel
Michael Menzel is a German board game illustrator and designer best known for creating the acclaimed cooperative game "Legends of Andor."
- 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: Christian Menn Triple: [Zakim Bridge, designedBy, Christian Menn]
Generated description
Christian Menn was a renowned Swiss civil engineer celebrated for his innovative and elegant bridge designs.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Christian Menn Target entity description: Christian Menn was a renowned Swiss civil engineer celebrated for his innovative and elegant bridge designs.
-
A.
Christian Rapp
Christian Rapp is a Dutch architect known for his role in the redevelopment and urban design of Amsterdam’s KNSM Island.
-
B.
Martin Suter
Martin Suter is a Swiss author best known for his popular contemporary novels and crime fiction, including the successful "Business Class" stories and the Allmen detective series.
-
C.
Christian Ditter
Christian Ditter is a German film and television director, producer, and screenwriter known for works such as "How to Be Single," "Love, Rosie," and the Netflix series "Girlboss."
-
D.
Christian Leumann
Christian Leumann is a Swiss chemist and academic leader who serves as the rector of the University of Bern.
-
E.
Michael Menzel
Michael Menzel is a German board game illustrator and designer best known for creating the acclaimed cooperative game "Legends of Andor."
- 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_69d889d7d27c819088486ce3f0627fa1 |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e43b051cc48190872278ee0b52240d |
completed | April 19, 2026, 2:16 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a01a7f76c208190b9b8db227507c045 |
completed | May 11, 2026, 9:57 a.m. |
| NEDg | Description generation | batch_6a01a8a927fc8190853a276107be3e70 |
completed | May 11, 2026, 10 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a01a903b384819094244a302d48220d |
completed | May 11, 2026, 10:01 a.m. |
Created at: April 10, 2026, 5:45 a.m.