Triple
T15908124
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Daniel Stern |
E385774
|
entity |
| Predicate | spouse |
P13
|
FINISHED |
| Object |
Laurel Stern
Laurel Stern is the wife of American actor Daniel Stern, known for maintaining a largely private life outside of her husband's film and television career.
|
E1193874
|
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: Laurel Stern | Statement: [Daniel Stern, spouse, Laurel Stern]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Laurel Stern Context triple: [Daniel Stern, spouse, Laurel Stern]
-
A.
Alison Stern
Alison Stern is the real-life wife of radio personality Howard Stern, who appears as a character in his autobiographical film "Private Parts."
-
B.
Rachel Stern
Rachel Stern is a stage actress best known for originating the role of Liz in the Broadway production of the musical "High Fidelity."
-
C.
Mindi Dickstein
Mindi Dickstein is an American lyricist and librettist best known for her work on the Broadway musical adaptation of "Little Women."
-
D.
Amy Landecker
Amy Landecker is an American actress best known for her role as Sarah Pfefferman on the television series "Transparent."
-
E.
Liza Snyder
Liza Snyder is an American television actress best known for her comedic roles on sitcoms such as "Yes, Dear" and "Man with a Plan."
- 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: Laurel Stern Triple: [Daniel Stern, spouse, Laurel Stern]
Generated description
Laurel Stern is the wife of American actor Daniel Stern, known for maintaining a largely private life outside of her husband's film and television career.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Laurel Stern Target entity description: Laurel Stern is the wife of American actor Daniel Stern, known for maintaining a largely private life outside of her husband's film and television career.
-
A.
Alison Stern
Alison Stern is the real-life wife of radio personality Howard Stern, who appears as a character in his autobiographical film "Private Parts."
-
B.
Rachel Stern
Rachel Stern is a stage actress best known for originating the role of Liz in the Broadway production of the musical "High Fidelity."
-
C.
Mindi Dickstein
Mindi Dickstein is an American lyricist and librettist best known for her work on the Broadway musical adaptation of "Little Women."
-
D.
Amy Landecker
Amy Landecker is an American actress best known for her role as Sarah Pfefferman on the television series "Transparent."
-
E.
Liza Snyder
Liza Snyder is an American television actress best known for her comedic roles on sitcoms such as "Yes, Dear" and "Man with a Plan."
- 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_69ffeb82a29081909ef0e2685d0705c3 |
completed | May 10, 2026, 2:20 a.m. |
| NEDg | Description generation | batch_69ffec4898088190bed531e33418c7e5 |
completed | May 10, 2026, 2:24 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ffecce96508190a53f100e3207ebac |
completed | May 10, 2026, 2:26 a.m. |
Created at: April 10, 2026, 4:52 a.m.