Triple
T3125424
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Evidence |
E65284
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object |
Green Tape
Green Tape is a notable work titled "Green Tape," likely recognized within its field for its distinctive contribution or impact.
|
E328390
|
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: Green Tape | Statement: [Evidence, notableWork, Green Tape]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Green Tape Context triple: [Evidence, notableWork, Green Tape]
-
A.
Ribbon
"Ribbon" is a song by Mariah Carey from her 2009 album *Memoirs of an Imperfect Angel*, blending R&B and pop elements with sensual, intimate lyrics.
-
B.
Big Green
Big Green is the nickname and mascot representing the athletic teams and school spirit of Deerfield Academy.
-
C.
Big Green
Big Green is the collective nickname for Dartmouth College’s athletic teams and, more broadly, its campus community identity.
-
D.
Strijp
Strijp is a district in the Dutch city of Eindhoven, historically known for its strong association with Philips and its transformation into a creative and cultural hub.
-
E.
Band-Aid
Band-Aid is a widely known brand of adhesive bandages and first-aid products commonly used to cover and protect minor cuts and wounds.
- 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: Green Tape Triple: [Evidence, notableWork, Green Tape]
Generated description
Green Tape is a notable work titled "Green Tape," likely recognized within its field for its distinctive contribution or impact.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Green Tape Target entity description: Green Tape is a notable work titled "Green Tape," likely recognized within its field for its distinctive contribution or impact.
-
A.
Ribbon
"Ribbon" is a song by Mariah Carey from her 2009 album *Memoirs of an Imperfect Angel*, blending R&B and pop elements with sensual, intimate lyrics.
-
B.
Big Green
Big Green is the nickname and mascot representing the athletic teams and school spirit of Deerfield Academy.
-
C.
Big Green
Big Green is the collective nickname for Dartmouth College’s athletic teams and, more broadly, its campus community identity.
-
D.
Strijp
Strijp is a district in the Dutch city of Eindhoven, historically known for its strong association with Philips and its transformation into a creative and cultural hub.
-
E.
Band-Aid
Band-Aid is a widely known brand of adhesive bandages and first-aid products commonly used to cover and protect minor cuts and wounds.
- 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_69ad8580c72481909672d37acf647893 |
completed | March 8, 2026, 2:19 p.m. |
| NER | Named-entity recognition | batch_69ada52e9f348190aa15b2c0d252719f |
completed | March 8, 2026, 4:34 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b20f75fbf081909a2957b7277c3aae |
completed | March 12, 2026, 12:57 a.m. |
| NEDg | Description generation | batch_69b20fbe1ef081909ef8c11fef96fcf9 |
completed | March 12, 2026, 12:58 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69b2101960388190827cc3e64fdf293b |
completed | March 12, 2026, 1 a.m. |
Created at: March 8, 2026, 3:04 p.m.