Triple
T13788240
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | SPEED |
E331321
|
entity |
| Predicate | notableProgramming |
P29532
|
FINISHED |
| Object |
Pinks
Pinks is a programming language or framework associated with the SPEED project, recognized for its role in performance-oriented software development.
|
E1062433
|
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: Pinks | Statement: [SPEED, notableProgramming, Pinks]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Pinks Context triple: [SPEED, notableProgramming, Pinks]
-
A.
PINK
PINK is a youthful, college-age-focused lingerie and loungewear brand known for its playful, colorful designs and casual lifestyle apparel.
-
B.
Pink
Pink is an American pop-rock singer and songwriter known for her powerful vocals, acrobatic live performances, and hits such as "Just Give Me a Reason" and "So What."
-
C.
Pink
Pink is a light, reddish color often associated with softness, romance, and playfulness.
-
D.
Rossa
Rossa is an alternative name for Hürrem Sultan, the influential 16th-century wife of Ottoman Sultan Suleiman the Magnificent and a powerful political figure in the empire.
-
E.
Rainbow
Rainbow is Mariah Carey's 1999 pop and R&B studio album that blends soulful ballads with uptempo tracks and marks a transitional period in her artistic and personal life.
- 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: Pinks Triple: [SPEED, notableProgramming, Pinks]
Generated description
Pinks is a programming language or framework associated with the SPEED project, recognized for its role in performance-oriented software development.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Pinks Target entity description: Pinks is a programming language or framework associated with the SPEED project, recognized for its role in performance-oriented software development.
-
A.
PINK
PINK is a youthful, college-age-focused lingerie and loungewear brand known for its playful, colorful designs and casual lifestyle apparel.
-
B.
Pink
Pink is an American pop-rock singer and songwriter known for her powerful vocals, acrobatic live performances, and hits such as "Just Give Me a Reason" and "So What."
-
C.
Pink
Pink is a light, reddish color often associated with softness, romance, and playfulness.
-
D.
Rossa
Rossa is an alternative name for Hürrem Sultan, the influential 16th-century wife of Ottoman Sultan Suleiman the Magnificent and a powerful political figure in the empire.
-
E.
Rainbow
"Rainbow" is a popular 1928 Broadway musical composed by Vincent Youmans, known for its melodic score and contribution to early American musical theatre.
- 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_69d81c58feb08190a77bca8bf7d6d20f |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de0249e4f88190a80316394940627d |
completed | April 14, 2026, 9 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f7b07f5cf48190b59827efb5918a95 |
completed | May 3, 2026, 8:30 p.m. |
| NEDg | Description generation | batch_69f7b208e3c88190962a5ce45aecf3e6 |
completed | May 3, 2026, 8:37 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f7b2c55e188190b0ea8fa400ff2dfc |
completed | May 3, 2026, 8:40 p.m. |
Created at: April 9, 2026, 10:11 p.m.