Triple
T19920602
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Loeb |
E478783
|
entity |
| Predicate | hasNotableBearer |
P458
|
FINISHED |
| Object |
Gideon Loeb
Gideon Loeb is an individual notable enough to be recognized as a prominent bearer of the surname Loeb.
|
E1401912
|
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: Gideon Loeb | Statement: [Loeb, hasNotableBearer, Gideon Loeb]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Gideon Loeb Context triple: [Loeb, hasNotableBearer, Gideon Loeb]
-
A.
Gideon Porath
Gideon Porath is a cinematographer best known for his work on the 1996 television film "Doctor Who: The Movie."
-
B.
Gideon Ezra
Gideon Ezra was an Israeli politician and former Shin Bet officer who served in several ministerial roles, including public security, during his career in the Knesset.
-
C.
Gideon Gartner
Gideon Gartner was an influential technology analyst and entrepreneur best known for founding the global research and advisory firm Gartner Inc.
-
D.
Gideon Shryock
Gideon Shryock was a prominent 19th-century American architect known for introducing the Greek Revival style to public buildings in Kentucky.
-
E.
Gideon Raff
Gideon Raff is an Israeli film and television director, screenwriter, and producer best known for creating the series "Prisoners of War," which inspired the American show "Homeland."
- 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: Gideon Loeb Triple: [Loeb, hasNotableBearer, Gideon Loeb]
Generated description
Gideon Loeb is an individual notable enough to be recognized as a prominent bearer of the surname Loeb.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Gideon Loeb Target entity description: Gideon Loeb is an individual notable enough to be recognized as a prominent bearer of the surname Loeb.
-
A.
Gideon Porath
Gideon Porath is a cinematographer best known for his work on the 1996 television film "Doctor Who: The Movie."
-
B.
Gideon Ezra
Gideon Ezra was an Israeli politician and former Shin Bet officer who served in several ministerial roles, including public security, during his career in the Knesset.
-
C.
Gideon Gartner
Gideon Gartner was an influential technology analyst and entrepreneur best known for founding the global research and advisory firm Gartner Inc.
-
D.
Gideon Shryock
Gideon Shryock was a prominent 19th-century American architect known for introducing the Greek Revival style to public buildings in Kentucky.
-
E.
Gideon Raff
Gideon Raff is an Israeli film and television director, screenwriter, and producer best known for creating the series "Prisoners of War," which inspired the American show "Homeland."
- 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_69d8e521855c8190b41871700afc8d6a |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e659c564788190a3893fc73fc4922b |
completed | April 20, 2026, 4:52 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a07ea54913c8190be1143c1f0a11082 |
completed | May 16, 2026, 3:53 a.m. |
| NEDg | Description generation | batch_6a07f07d33bc8190b0de5dcce7f77e7d |
completed | May 16, 2026, 4:20 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a07f0ec7d488190991914918a3940eb |
completed | May 16, 2026, 4:22 a.m. |
Created at: April 10, 2026, 1:53 p.m.