Triple
T16437804
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Neighborhoods |
E399220
|
entity |
| Predicate | producer |
P490
|
FINISHED |
| Object |
Critter
Critter is a music producer known for working on the album "Neighborhoods."
|
E1214327
|
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: Critter | Statement: [Neighborhoods, producer, Critter]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Critter Context triple: [Neighborhoods, producer, Critter]
-
A.
Kritter
Kritter is a common crocodilian enemy character from the Donkey Kong video game series, serving as one of the primary foot soldiers of the Kremling Krew.
-
B.
Critter Country
Critter Country is a themed land at Disneyland known for its rustic woodland setting and attractions featuring animal characters.
-
C.
Grilo
Grilo is a character in Eça de Queirós’s novel "A Cidade e as Serras," serving as a practical and loyal servant who helps bridge the contrast between urban sophistication and rural simplicity.
-
D.
Zoot
Zoot is a fictional animal character name commonly used in entertainment and media, often evoking a quirky or playful creature.
-
E.
Critters franchise
The Critters franchise is a series of American horror-comedy films centered on small, carnivorous alien creatures that terrorize humans.
- 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: Critter Triple: [Neighborhoods, producer, Critter]
Generated description
Critter is a music producer known for working on the album "Neighborhoods."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Critter Target entity description: Critter is a music producer known for working on the album "Neighborhoods."
-
A.
Kritter
Kritter is a common crocodilian enemy character from the Donkey Kong video game series, serving as one of the primary foot soldiers of the Kremling Krew.
-
B.
Critter Country
Critter Country is a themed land at Disneyland known for its rustic woodland setting and attractions featuring animal characters.
-
C.
Grilo
Grilo is a character in Eça de Queirós’s novel "A Cidade e as Serras," serving as a practical and loyal servant who helps bridge the contrast between urban sophistication and rural simplicity.
-
D.
Zoot
Zoot is a fictional animal character name commonly used in entertainment and media, often evoking a quirky or playful creature.
-
E.
Critters franchise
The Critters franchise is a series of American horror-comedy films centered on small, carnivorous alien creatures that terrorize humans.
- 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_69d87f2c6778819080fcfae53be8f12a |
completed | April 10, 2026, 4:40 a.m. |
| NER | Named-entity recognition | batch_69e32ba49f3481908e7ea62467ef5813 |
completed | April 18, 2026, 6:58 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00458b91bc8190b40af99faf5e74ab |
completed | May 10, 2026, 8:44 a.m. |
| NEDg | Description generation | batch_6a00487c4b9081909188e9858626674a |
completed | May 10, 2026, 8:57 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0048e5175c81909d293bbf086b2f2e |
completed | May 10, 2026, 8:59 a.m. |
Created at: April 10, 2026, 5:10 a.m.