Triple
T23445288
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mirror Blue |
E565517
|
entity |
| Predicate | hasTrack |
P3284
|
FINISHED |
| Object |
Mascara Tears
"Mascara Tears" is a song featured on the album "Mirror Blue" by British singer-songwriter and guitarist John Martyn.
|
E1585859
|
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: Mascara Tears | Statement: [Mirror Blue, hasTrack, Mascara Tears]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mascara Tears Context triple: [Mirror Blue, hasTrack, Mascara Tears]
-
A.
Hypnôse Mascara
Hypnôse Mascara is a popular Lancôme luxury mascara line known for delivering buildable volume and dramatic, lengthened lashes.
-
B.
Mascara
Mascara is a city in northwestern Algeria known for its historical significance and role in the resistance led by Emir Abdelkader.
-
C.
War Paint
War Paint is a 1953 American Western film starring Robert Stack and Joan Taylor, centered on a tense mission to deliver a peace treaty across hostile territory.
-
D.
War Paint
War Paint is a Broadway musical that dramatizes the rivalry between cosmetics titans Helena Rubinstein and Elizabeth Arden in mid-20th-century America.
-
E.
War Paint
War Paint is a country music studio album by American singer Lorrie Morgan, showcasing her emotive vocal style and storytelling.
- 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: Mascara Tears Triple: [Mirror Blue, hasTrack, Mascara Tears]
Generated description
"Mascara Tears" is a song featured on the album "Mirror Blue" by British singer-songwriter and guitarist John Martyn.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Mascara Tears Target entity description: "Mascara Tears" is a song featured on the album "Mirror Blue" by British singer-songwriter and guitarist John Martyn.
-
A.
Hypnôse Mascara
Hypnôse Mascara is a popular Lancôme luxury mascara line known for delivering buildable volume and dramatic, lengthened lashes.
-
B.
Mascara
Mascara is a city in northwestern Algeria known for its historical significance and role in the resistance led by Emir Abdelkader.
-
C.
War Paint
War Paint is a country music studio album by American singer Lorrie Morgan, showcasing her emotive vocal style and storytelling.
-
D.
War Paint
War Paint is a Broadway musical that dramatizes the rivalry between cosmetics titans Helena Rubinstein and Elizabeth Arden in mid-20th-century America.
-
E.
War Paint
War Paint is a 1953 American Western film starring Robert Stack and Joan Taylor, centered on a tense mission to deliver a peace treaty across hostile territory.
- 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_69e24584f9488190bb32730bd2ce023e |
completed | April 17, 2026, 2:36 p.m. |
| NER | Named-entity recognition | batch_69f1a647d6208190ba891252c8443fd4 |
completed | April 29, 2026, 6:33 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0c67b9733c8190a5bb408df3d0940a |
completed | May 19, 2026, 1:38 p.m. |
| NEDg | Description generation | batch_6a0c7217edc881909f582f0c726d7e61 |
completed | May 19, 2026, 2:22 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0c76bcf3f08190ae28b928b18cd007 |
completed | May 19, 2026, 2:42 p.m. |
Created at: April 17, 2026, 5:51 p.m.