Triple
T13446284
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Our House |
E320492
|
entity |
| Predicate | starring |
P1507
|
FINISHED |
| Object |
Keri Houlihan
Keri Houlihan is an American actress best known for her role on the 1980s television drama series "Our House."
|
E1041050
|
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: Keri Houlihan | Statement: [Our House, starring, Keri Houlihan]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Keri Houlihan Context triple: [Our House, starring, Keri Houlihan]
-
A.
Emma McLaughlin
Emma McLaughlin is an American author best known for co-writing the bestselling novel "The Nanny Diaries," which satirizes the lives of wealthy New York families through the eyes of a young nanny.
-
B.
Colette McArdle
Colette McArdle is the wife of Irish republican politician and former Sinn Féin president Gerry Adams.
-
C.
Erin Dignam
Erin Dignam is an American filmmaker and screenwriter known for her collaborations with director Sean Penn and for writing character-driven drama films.
-
D.
Megan Walsh
Megan Walsh is the teenage government-trained assassin who goes undercover as a high school student in the action-comedy film "Barely Lethal."
-
E.
Erin McDermott
Erin McDermott is a collegiate sports administrator best known as the athletic director at Harvard University.
- 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: Keri Houlihan Triple: [Our House, starring, Keri Houlihan]
Generated description
Keri Houlihan is an American actress best known for her role on the 1980s television drama series "Our House."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Keri Houlihan Target entity description: Keri Houlihan is an American actress best known for her role on the 1980s television drama series "Our House."
-
A.
Emma McLaughlin
Emma McLaughlin is an American author best known for co-writing the bestselling novel "The Nanny Diaries," which satirizes the lives of wealthy New York families through the eyes of a young nanny.
-
B.
Colette McArdle
Colette McArdle is the wife of Irish republican politician and former Sinn Féin president Gerry Adams.
-
C.
Erin Dignam
Erin Dignam is an American filmmaker and screenwriter known for her collaborations with director Sean Penn and for writing character-driven drama films.
-
D.
Megan Walsh
Megan Walsh is the teenage government-trained assassin who goes undercover as a high school student in the action-comedy film "Barely Lethal."
-
E.
Erin McDermott
Erin McDermott is a collegiate sports administrator best known as the athletic director at Harvard University.
- 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_69d80761e6cc8190a90c844589998ecc |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dbaef5f610819092cad33ef72075ff |
completed | April 12, 2026, 2:40 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f73998221c8190a2d8982a3da28ec9 |
completed | May 3, 2026, 12:03 p.m. |
| NEDg | Description generation | batch_69f73a598c6c81908420b00b665e3b08 |
completed | May 3, 2026, 12:06 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f73e0e598c8190b030a45e658a5055 |
completed | May 3, 2026, 12:22 p.m. |
Created at: April 9, 2026, 9:40 p.m.