Triple
T18081900
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Titan A.E. |
E432709
|
entity |
| Predicate | character |
P662
|
FINISHED |
| Object |
Stith
Stith is a tough, quick-tempered, and acrobatic kangaroo-like alien who serves as the crew’s weapons expert in the animated science fiction film Titan A.E.
|
E1305784
|
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: Stith | Statement: [Titan A.E., character, Stith]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Stith Context triple: [Titan A.E., character, Stith]
-
A.
Stith
Stith is the middle name of John Stith Pemberton, the American pharmacist best known as the inventor of Coca-Cola.
-
B.
Tilghman
Tilghman is a masculine given name of English origin that has been borne by various notable American figures, including politicians and military officers.
-
C.
Tilghman
Tilghman is a surname most notably associated with Shirley M. Tilghman, a prominent molecular biologist and former president of Princeton University.
-
D.
Tolan
Tolan is a surname most notably associated with American television producer, writer, and director Peter Tolan.
-
E.
Flinton
Flinton is a small rural community located within the township of Addington Highlands in eastern Ontario, Canada.
- 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: Stith Triple: [Titan A.E., character, Stith]
Generated description
Stith is a tough, quick-tempered, and acrobatic kangaroo-like alien who serves as the crew’s weapons expert in the animated science fiction film Titan A.E.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Stith Target entity description: Stith is a tough, quick-tempered, and acrobatic kangaroo-like alien who serves as the crew’s weapons expert in the animated science fiction film Titan A.E.
-
A.
Stith
Stith is the middle name of John Stith Pemberton, the American pharmacist best known as the inventor of Coca-Cola.
-
B.
Tilghman
Tilghman is a masculine given name of English origin that has been borne by various notable American figures, including politicians and military officers.
-
C.
Tilghman
Tilghman is a surname most notably associated with Shirley M. Tilghman, a prominent molecular biologist and former president of Princeton University.
-
D.
Tolan
Tolan is a surname most notably associated with American television producer, writer, and director Peter Tolan.
-
E.
Flinton
Flinton is a small rural community located within the township of Addington Highlands in eastern Ontario, Canada.
- 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_69d8b907d05c819083cc3bd6021089e6 |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e4d9fb42888190919fe711a281bd7c |
completed | April 19, 2026, 1:34 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a035d8d4ab881909b2ebe0b933e3b97 |
completed | May 12, 2026, 5:04 p.m. |
| NEDg | Description generation | batch_6a0360cc5d648190bd7d7d756f662046 |
completed | May 12, 2026, 5:18 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a03616317548190a09b0df1c9d6d303 |
completed | May 12, 2026, 5:20 p.m. |
Created at: April 10, 2026, 10:27 a.m.