Triple
T1576037
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Edward Condon |
E33653
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Condon
Condon is a surname of Irish origin borne by various notable individuals in fields such as science, politics, and the arts.
|
E179790
|
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: Condon | Statement: [Edward Condon, familyName, Condon]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Condon Context triple: [Edward Condon, familyName, Condon]
-
A.
Connelly
Connelly is a surname most prominently associated with American actress Jennifer Connelly, known for her acclaimed film roles since the 1980s.
-
B.
Eldridge
Eldridge is an English-language surname of Old English origin, borne by various notable individuals across fields such as politics, the arts, and sports.
-
C.
Callahan
Callahan is a surname most notably associated with American singer-songwriter Bill Callahan, known for his introspective and minimalist folk music.
-
D.
Crawford
Crawford is a Scottish-origin surname borne by numerous notable figures across politics, sports, arts, and entertainment.
-
E.
Loomis
Loomis is a surname of English origin borne by various notable individuals across fields such as science, law, and the arts.
- 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: Condon Triple: [Edward Condon, familyName, Condon]
Generated description
Condon is a surname of Irish origin borne by various notable individuals in fields such as science, politics, and the arts.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Condon Target entity description: Condon is a surname of Irish origin borne by various notable individuals in fields such as science, politics, and the arts.
-
A.
Kinsey
Kinsey is a 2004 biographical drama film about pioneering sex researcher Alfred Kinsey, starring Liam Neeson in the title role.
-
B.
Connelly
Connelly is a surname most prominently associated with American actress Jennifer Connelly, known for her acclaimed film roles since the 1980s.
-
C.
Eldridge
Eldridge is an English-language surname of Old English origin, borne by various notable individuals across fields such as politics, the arts, and sports.
-
D.
Callahan
Callahan is a surname most notably associated with American singer-songwriter Bill Callahan, known for his introspective and minimalist folk music.
-
E.
Crawford
Crawford is a Scottish-origin surname borne by numerous notable figures across politics, sports, arts, and entertainment.
- 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_69a885f27a4c8190a4622252cdf54c00 |
completed | March 4, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69a908d2cffc819090f3d5cbebae3307 |
completed | March 5, 2026, 4:38 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ad402b44688190b02e6d146f009854 |
completed | March 8, 2026, 9:23 a.m. |
| NEDg | Description generation | batch_69ad410ba7f881909dcee6e6fd56490f |
completed | March 8, 2026, 9:27 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ad41ff0b0c8190b5429ed6952a0ce6 |
completed | March 8, 2026, 9:31 a.m. |
Created at: March 4, 2026, 7:27 p.m.