Triple
T102417
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tom Brady |
E2066
|
entity |
| Predicate | nickname |
P55
|
FINISHED |
| Object |
Tom Terrific
Tom Terrific is a nickname for Tom Brady, the legendary NFL quarterback widely regarded as one of the greatest players in football history.
|
E14714
|
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: Tom Terrific | Statement: [Tom Brady, nickname, Tom Terrific]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tom Terrific Context triple: [Tom Brady, nickname, Tom Terrific]
-
A.
Ted
Ted is a masculine given name, often a diminutive of Theodore or Edward, commonly used in English-speaking countries.
-
B.
Ted
Ted is a 2012 comedy film about a foul-mouthed living teddy bear, created by and starring Seth MacFarlane.
-
C.
Dennis
Dennis is a coastal town on Cape Cod in Massachusetts known for its beaches, historic charm, and popular summer tourism.
-
D.
Curly McLain
Curly McLain is the charming cowboy protagonist of the classic Rodgers and Hammerstein musical "Oklahoma!"
-
E.
Tim the Beaver
Tim the Beaver is the official mascot of the Massachusetts Institute of Technology, symbolizing the school’s emphasis on engineering, ingenuity, and industriousness.
- 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: Tom Terrific Triple: [Tom Brady, nickname, Tom Terrific]
Generated description
Tom Terrific is a nickname for Tom Brady, the legendary NFL quarterback widely regarded as one of the greatest players in football history.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Tom Terrific Target entity description: Tom Terrific is a nickname for Tom Brady, the legendary NFL quarterback widely regarded as one of the greatest players in football history.
-
A.
Ted
Ted is a masculine given name, often a diminutive of Theodore or Edward, commonly used in English-speaking countries.
-
B.
Ted
Ted is a 2012 comedy film about a foul-mouthed living teddy bear, created by and starring Seth MacFarlane.
-
C.
Dennis
Dennis is a coastal town on Cape Cod in Massachusetts known for its beaches, historic charm, and popular summer tourism.
-
D.
Curly McLain
Curly McLain is the charming cowboy protagonist of the classic Rodgers and Hammerstein musical "Oklahoma!"
-
E.
Tim the Beaver
Tim the Beaver is the official mascot of the Massachusetts Institute of Technology, symbolizing the school’s emphasis on engineering, ingenuity, and industriousness.
- 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_69a24e0a5b7c81908d52da08c60dabc4 |
completed | Feb. 28, 2026, 2:08 a.m. |
| NER | Named-entity recognition | batch_69a256a9bd5881909f7d87fe65e79b4c |
completed | Feb. 28, 2026, 2:44 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a2a3d29e348190820f8a1ed207be2e |
completed | Feb. 28, 2026, 8:14 a.m. |
| NEDg | Description generation | batch_69a2a456dc6881909f55e96a91d6d7eb |
completed | Feb. 28, 2026, 8:16 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69a2a5b6aca481909c920d2b2f708c56 |
completed | Feb. 28, 2026, 8:22 a.m. |
Created at: Feb. 28, 2026, 2:12 a.m.