Triple
T15132351
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Great Outdoors |
E361449
|
entity |
| Predicate | featuresCharacter |
P626
|
FINISHED |
| Object |
Kate Craig
Kate Craig is a fictional character appearing in the comedy film "The Great Outdoors."
|
E1137837
|
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: Kate Craig | Statement: [The Great Outdoors, featuresCharacter, Kate Craig]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kate Craig Context triple: [The Great Outdoors, featuresCharacter, Kate Craig]
-
A.
Claire Craig
Claire Craig is a British academic and former civil servant who serves as the Provost (head) of The Queen’s College, University of Oxford.
-
B.
Kate Houghton
Kate Houghton is a central protagonist in the live-action/animated comedy film "Looney Tunes: Back in Action," where she works closely with classic Looney Tunes characters in a high-stakes adventure.
-
C.
Molly Craig
Molly Craig is the Aboriginal Australian girl whose real-life escape from a government settlement and journey home as part of the Stolen Generations is dramatized in the film "Rabbit-Proof Fence."
-
D.
Kate Agnew
Kate Agnew is known as the partner of Australian actor David Wenham.
-
E.
Penny Craig
Penny Craig is a central young character in the 1936 musical comedy film "Three Smart Girls," around whose family troubles and matchmaking schemes much of the plot revolves.
- 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: Kate Craig Triple: [The Great Outdoors, featuresCharacter, Kate Craig]
Generated description
Kate Craig is a fictional character appearing in the comedy film "The Great Outdoors."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Kate Craig Target entity description: Kate Craig is a fictional character appearing in the comedy film "The Great Outdoors."
-
A.
Claire Craig
Claire Craig is a British academic and former civil servant who serves as the Provost (head) of The Queen’s College, University of Oxford.
-
B.
Kate Houghton
Kate Houghton is a central protagonist in the live-action/animated comedy film "Looney Tunes: Back in Action," where she works closely with classic Looney Tunes characters in a high-stakes adventure.
-
C.
Molly Craig
Molly Craig is the Aboriginal Australian girl whose real-life escape from a government settlement and journey home as part of the Stolen Generations is dramatized in the film "Rabbit-Proof Fence."
-
D.
Kate Agnew
Kate Agnew is known as the partner of Australian actor David Wenham.
-
E.
Penny Craig
Penny Craig is a central young character in the 1936 musical comedy film "Three Smart Girls," around whose family troubles and matchmaking schemes much of the plot revolves.
- 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_69d85a06450081909c5a14ea9851a15e |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e005b29a4c819087f8818e3f5788f5 |
completed | April 15, 2026, 9:40 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69feb7fd3c448190b4b06fdc1ab2c6a7 |
completed | May 9, 2026, 4:28 a.m. |
| NEDg | Description generation | batch_69feb8bb774481908272929358817440 |
completed | May 9, 2026, 4:31 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69feb9384b4c81909fe80dec3abc1659 |
completed | May 9, 2026, 4:34 a.m. |
Created at: April 10, 2026, 3:06 a.m.