Triple
T1832783
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Owen King |
E40995
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object |
The Meerkat
The Meerkat is a work of fiction by American author Owen King, known for its offbeat, character-driven storytelling.
|
E203943
|
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: The Meerkat | Statement: [Owen King, notableWork, The Meerkat]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: The Meerkat Context triple: [Owen King, notableWork, The Meerkat]
-
A.
Zooropa
Zooropa is a 1993 experimental rock album by Irish band U2 that blends alternative rock with electronic and ambient influences.
-
B.
Hyena-swine
Hyena-swine is a vicious, part-hyena, part-pig Beast Folk creature in H. G. Wells’s novel "The Island of Doctor Moreau," known for its brutality and defiance of Moreau’s imposed laws.
-
C.
Leões
Leões is the popular nickname for Sporting Clube de Portugal, one of Portugal’s biggest football clubs, symbolizing the team’s lion emblem and fighting spirit.
-
D.
Critter Country
Critter Country is a themed land at Disneyland known for its rustic woodland setting and attractions featuring animal characters.
-
E.
Moe the Kangaroo
Moe the Kangaroo is the costumed kangaroo mascot that represents the Virginia Military Institute at its athletic events and school functions.
- 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: The Meerkat Triple: [Owen King, notableWork, The Meerkat]
Generated description
The Meerkat is a work of fiction by American author Owen King, known for its offbeat, character-driven storytelling.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: The Meerkat Target entity description: The Meerkat is a work of fiction by American author Owen King, known for its offbeat, character-driven storytelling.
-
A.
Zooropa
Zooropa is a 1993 experimental rock album by Irish band U2 that blends alternative rock with electronic and ambient influences.
-
B.
Hyena-swine
Hyena-swine is a vicious, part-hyena, part-pig Beast Folk creature in H. G. Wells’s novel "The Island of Doctor Moreau," known for its brutality and defiance of Moreau’s imposed laws.
-
C.
Leões
Leões is the popular nickname for Sporting Clube de Portugal, one of Portugal’s biggest football clubs, symbolizing the team’s lion emblem and fighting spirit.
-
D.
Kenzi
Kenzi is a Nubian language spoken in southern Egypt, closely related to Nobiin and part of the broader Nubian language family along the Nile.
-
E.
Critter Country
Critter Country is a themed land at Disneyland known for its rustic woodland setting and attractions featuring animal characters.
- 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_69a88647f9388190909bc36e795bdaec |
completed | March 4, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69abb024287c8190b68aa070e556a381 |
completed | March 7, 2026, 4:57 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69adbf6f212c8190b0d182f8486d9e47 |
completed | March 8, 2026, 6:26 p.m. |
| NEDg | Description generation | batch_69adc080abb88190883c35943dc7cb10 |
completed | March 8, 2026, 6:31 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69adc13330888190a2b99c6fcbb97d49 |
completed | March 8, 2026, 6:34 p.m. |
Created at: March 4, 2026, 7:33 p.m.