Triple
T3595876
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pixel 2 |
E76138
|
entity |
| Predicate | codename |
P2980
|
FINISHED |
| Object |
walleye
Walleye is the internal codename used by Google for its Pixel 2 smartphone model.
|
E372401
|
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: walleye | Statement: [Pixel 2, codename, walleye]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: walleye Context triple: [Pixel 2, codename, walleye]
-
A.
Walleye
The walleye is a popular North American freshwater game fish prized by anglers for its excellent taste and challenging sport.
-
B.
northern pike
The northern pike is a large, predatory freshwater fish known for its elongated body, sharp teeth, and ambush-hunting behavior in lakes and rivers across the Northern Hemisphere.
-
C.
Muskie
Muskie is a surname most notably associated with Edmund Muskie, a prominent American politician and former U.S. Secretary of State.
-
D.
Alewife
Alewife is a major subway station and transit hub in North Cambridge, Massachusetts, serving as the northern endpoint of Boston’s MBTA Red Line and a large park-and-ride facility.
-
E.
largemouth bass
The largemouth bass is a popular North American freshwater game fish known for its aggressive strikes, strong fighting ability, and importance to recreational angling.
- 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: walleye Triple: [Pixel 2, codename, walleye]
Generated description
Walleye is the internal codename used by Google for its Pixel 2 smartphone model.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: walleye Target entity description: Walleye is the internal codename used by Google for its Pixel 2 smartphone model.
-
A.
Walleye
The walleye is a popular North American freshwater game fish prized by anglers for its excellent taste and challenging sport.
-
B.
northern pike
The northern pike is a large, predatory freshwater fish known for its elongated body, sharp teeth, and ambush-hunting behavior in lakes and rivers across the Northern Hemisphere.
-
C.
Muskie
Muskie is a surname most notably associated with Edmund Muskie, a prominent American politician and former U.S. Secretary of State.
-
D.
Alewife
Alewife is a major subway station and transit hub in North Cambridge, Massachusetts, serving as the northern endpoint of Boston’s MBTA Red Line and a large park-and-ride facility.
-
E.
largemouth bass
The largemouth bass is a popular North American freshwater game fish known for its aggressive strikes, strong fighting ability, and importance to recreational angling.
- 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_69ad85d8042081908af94a04c410dec0 |
completed | March 8, 2026, 2:21 p.m. |
| NER | Named-entity recognition | batch_69adc15f41cc819085b3e897d823757d |
completed | March 8, 2026, 6:35 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b403130cf081909bb90800d7dc2d6f |
completed | March 13, 2026, 12:29 p.m. |
| NEDg | Description generation | batch_69b40e244db08190bbe9053619820ae8 |
completed | March 13, 2026, 1:16 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69b42d8084c88190a2aae4a883d050a0 |
completed | March 13, 2026, 3:30 p.m. |
Created at: March 8, 2026, 3:22 p.m.