Triple
T3129220
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Enter the Wu-Tang (36 Chambers) |
E65369
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object |
Tearz
"Tearz" is a track by the Wu-Tang Clan from their influential debut album "Enter the Wu-Tang (36 Chambers)," known for its raw storytelling and emotional depth.
|
E329951
|
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: Tearz | Statement: [Enter the Wu-Tang (36 Chambers), hasPart, Tearz]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tearz Context triple: [Enter the Wu-Tang (36 Chambers), hasPart, Tearz]
-
A.
Taze
Taze is the middle name of Charles Taze Russell, the American religious leader who founded the Bible Student movement and was an early influence on Jehovah’s Witnesses.
-
B.
Tikkana
Tikkana was a prominent 13th-century Telugu poet and scholar best known for translating a major portion of the Mahabharata into Telugu and helping shape classical Telugu literature.
-
C.
Tisha
Tisha is a feminine given name, often used as a diminutive or variant of names like Patricia or Letitia.
-
D.
Tiffy
Tiffy is a common nickname or diminutive form of the given name Tiffany.
-
E.
Kleeblatt
Kleeblatt is the traditional nickname of the German football club SpVgg Greuther Fürth, referencing the cloverleaf symbol in the club’s crest.
- 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: Tearz Triple: [Enter the Wu-Tang (36 Chambers), hasPart, Tearz]
Generated description
"Tearz" is a track by the Wu-Tang Clan from their influential debut album "Enter the Wu-Tang (36 Chambers)," known for its raw storytelling and emotional depth.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Tearz Target entity description: "Tearz" is a track by the Wu-Tang Clan from their influential debut album "Enter the Wu-Tang (36 Chambers)," known for its raw storytelling and emotional depth.
-
A.
Taze
Taze is the middle name of Charles Taze Russell, the American religious leader who founded the Bible Student movement and was an early influence on Jehovah’s Witnesses.
-
B.
Tikkana
Tikkana was a prominent 13th-century Telugu poet and scholar best known for translating a major portion of the Mahabharata into Telugu and helping shape classical Telugu literature.
-
C.
Tisha
Tisha is a feminine given name, often used as a diminutive or variant of names like Patricia or Letitia.
-
D.
Tiffy
Tiffy is a common nickname or diminutive form of the given name Tiffany.
-
E.
Kleeblatt
Kleeblatt is the traditional nickname of the German football club SpVgg Greuther Fürth, referencing the cloverleaf symbol in the club’s crest.
- 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_69ada548123c8190bcfe780c65941585 |
completed | March 8, 2026, 4:35 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b20f7c70108190b61177d1581fc33f |
completed | March 12, 2026, 12:57 a.m. |
| NEDg | Description generation | batch_69b2138e2bdc8190aa0a8a1dcd1e20fc |
completed | March 12, 2026, 1:14 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69b21438b6e881908da0117ebc9bb2b4 |
completed | March 12, 2026, 1:17 a.m. |
Created at: March 8, 2026, 3:04 p.m.