Triple
T3125420
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Evidence |
E65284
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object |
Cats & Dogs
Cats & Dogs is a 2001 family action-comedy film that humorously depicts a secret high-tech war between rival cat and dog factions.
|
E328386
|
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: Cats & Dogs | Statement: [Evidence, notableWork, Cats & Dogs]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Cats & Dogs Context triple: [Evidence, notableWork, Cats & Dogs]
-
A.
Catz
Catz is the informal nickname for St Catharine’s College, one of the constituent colleges of the University of Cambridge.
-
B.
Catz
Catz is the surname of Safra Catz, a prominent business executive best known as the CEO of Oracle Corporation.
-
C.
Cats
Cats is a long-running, award-winning musical composed by Andrew Lloyd Webber, based on T.S. Eliot’s "Old Possum’s Book of Practical Cats," renowned for its distinctive costumes, choreography, and songs like "Memory."
-
D.
Paws
Paws is the anthropomorphic tiger mascot of the Detroit Tigers Major League Baseball team, known for entertaining fans at games and community events.
-
E.
Paws
Paws is the costumed team mascot of the WNBA’s Washington Mystics, entertaining fans at games and events.
- 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: Cats & Dogs Triple: [Evidence, notableWork, Cats & Dogs]
Generated description
Cats & Dogs is a 2001 family action-comedy film that humorously depicts a secret high-tech war between rival cat and dog factions.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Cats & Dogs Target entity description: Cats & Dogs is a 2001 family action-comedy film that humorously depicts a secret high-tech war between rival cat and dog factions.
-
A.
Catz
Catz is the informal nickname for St Catharine’s College, one of the constituent colleges of the University of Cambridge.
-
B.
Catz
Catz is the surname of Safra Catz, a prominent business executive best known as the CEO of Oracle Corporation.
-
C.
Cats
Cats is a long-running, award-winning musical composed by Andrew Lloyd Webber, based on T.S. Eliot’s "Old Possum’s Book of Practical Cats," renowned for its distinctive costumes, choreography, and songs like "Memory."
-
D.
Paws
Paws is the anthropomorphic tiger mascot of the Detroit Tigers Major League Baseball team, known for entertaining fans at games and community events.
-
E.
Paws
Paws is the costumed team mascot of the WNBA’s Washington Mystics, entertaining fans at games and events.
- 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_69ad8580c72481909672d37acf647893 |
completed | March 8, 2026, 2:19 p.m. |
| NER | Named-entity recognition | batch_69ada52e9f348190aa15b2c0d252719f |
completed | March 8, 2026, 4:34 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b20f75fbf081909a2957b7277c3aae |
completed | March 12, 2026, 12:57 a.m. |
| NEDg | Description generation | batch_69b20fbe1ef081909ef8c11fef96fcf9 |
completed | March 12, 2026, 12:58 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69b2101960388190827cc3e64fdf293b |
completed | March 12, 2026, 1 a.m. |
Created at: March 8, 2026, 3:04 p.m.