Triple
T15908125
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Daniel Stern |
E385774
|
entity |
| Predicate | hasChild |
P369
|
FINISHED |
| Object |
Henry Stern
Henry Stern is an American politician and attorney who has served as a member of the California State Senate.
|
E1183670
|
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: Henry Stern | Statement: [Daniel Stern, hasChild, Henry Stern]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Henry Stern Context triple: [Daniel Stern, hasChild, Henry Stern]
-
A.
Louis Stern
Louis Stern was an early 20th-century film actor who appeared in silent-era productions, including the 1918 drama "Eye for Eye."
-
B.
Allen Ludden
Allen Ludden was an American television personality and game show host best known for hosting the quiz show "Password."
-
C.
Larry Vanover
Larry Vanover is a longtime Major League Baseball umpire who has worked numerous regular-season and postseason games since the early 1990s.
-
D.
Jerry Klein
Jerry Klein is a fictional character featured prominently in the crime drama television series "Under Suspicion."
-
E.
Peter Ochs
Peter Ochs was an 18th-century Swiss politician and reformer best known for helping to establish the Helvetic Republic.
- 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: Henry Stern Triple: [Daniel Stern, hasChild, Henry Stern]
Generated description
Henry Stern is an American politician and attorney who has served as a member of the California State Senate.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Henry Stern Target entity description: Henry Stern is an American politician and attorney who has served as a member of the California State Senate.
-
A.
Louis Stern
Louis Stern was an early 20th-century film actor who appeared in silent-era productions, including the 1918 drama "Eye for Eye."
-
B.
Allen Ludden
Allen Ludden was an American television personality and game show host best known for hosting the quiz show "Password."
-
C.
Larry Vanover
Larry Vanover is a longtime Major League Baseball umpire who has worked numerous regular-season and postseason games since the early 1990s.
-
D.
Jerry Klein
Jerry Klein is a fictional character featured prominently in the crime drama television series "Under Suspicion."
-
E.
Peter Ochs
Peter Ochs was an 18th-century Swiss politician and reformer best known for helping to establish the Helvetic Republic.
- 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_69d86da686e4819097cbf3b1fc2d881d |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e1565c11bc819091b1fd85901a832d |
completed | April 16, 2026, 9:36 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ffb055307081908a13c98a0e16780c |
completed | May 9, 2026, 10:08 p.m. |
| NEDg | Description generation | batch_69ffb110a5b88190904f763057e8eb1e |
completed | May 9, 2026, 10:11 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ffb1a5e9b88190b790c81b9500c2ac |
completed | May 9, 2026, 10:13 p.m. |
Created at: April 10, 2026, 4:52 a.m.