Triple
T7387588
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Acer |
E170419
|
entity |
| Predicate | brand |
P1500
|
FINISHED |
| Object |
Spin
Spin is a line of Acer laptops known for their 2-in-1 convertible designs with 360-degree hinges and touchscreen displays.
|
E660941
|
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: Spin | Statement: [Acer, brand, Spin]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Spin Context triple: [Acer, brand, Spin]
-
A.
Spin
Spin is a publication known for its coverage of music, culture, and entertainment.
-
B.
Spun
Spun is a darkly comic 2002 crime film about methamphetamine addicts, directed by Jonas Åkerlund and featuring Jason Schwartzman in a leading role.
-
C.
The Spinner
The Spinner is a painting by Dutch Golden Age artist Abraham Bloemaert, exemplifying his refined handling of light, texture, and everyday genre subjects.
-
D.
Spiralling
"Spiralling" is a song by the English alternative rock band Keane, known for its upbeat, synth-driven sound and departure from their earlier piano-rock style.
-
E.
Spiral
"Spiral" is a notable work by filmmaker Mark Burg, best known as a producer in the horror and thriller genres.
- 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: Spin Triple: [Acer, brand, Spin]
Generated description
Spin is a line of Acer laptops known for their 2-in-1 convertible designs with 360-degree hinges and touchscreen displays.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Spin Target entity description: Spin is a line of Acer laptops known for their 2-in-1 convertible designs with 360-degree hinges and touchscreen displays.
-
A.
Spin
Spin is a publication known for its coverage of music, culture, and entertainment.
-
B.
Spun
Spun is a darkly comic 2002 crime film about methamphetamine addicts, directed by Jonas Åkerlund and featuring Jason Schwartzman in a leading role.
-
C.
The Spinner
The Spinner is a painting by Dutch Golden Age artist Abraham Bloemaert, exemplifying his refined handling of light, texture, and everyday genre subjects.
-
D.
Spiralling
"Spiralling" is a song by the English alternative rock band Keane, known for its upbeat, synth-driven sound and departure from their earlier piano-rock style.
-
E.
Spiral
"Spiral" is a notable work by filmmaker Mark Burg, best known as a producer in the horror and thriller genres.
- 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_69c68a5e2c9081909e713ce866e0060a |
completed | March 27, 2026, 1:47 p.m. |
| NER | Named-entity recognition | batch_69c6f1f2bac481908ac74069182a4ce4 |
completed | March 27, 2026, 9:09 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c802e56fb48190976612d2a94d6ee5 |
completed | March 28, 2026, 4:33 p.m. |
| NEDg | Description generation | batch_69c803707cec8190bb474c959ef93d48 |
completed | March 28, 2026, 4:36 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69c803ed9ec4819090a9481954060769 |
completed | March 28, 2026, 4:38 p.m. |
Created at: March 27, 2026, 3:08 p.m.