Triple
T29332840
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Naam Iruvar |
E743823
|
entity |
| Predicate | hasSongLyricist |
P1360
|
FINISHED |
| Object |
Papanasam Sivan
Papanasam Sivan was a renowned 20th-century Carnatic composer and Tamil film music lyricist, often hailed as the "Tamil Tyagaraja" for his prolific and devotional compositions.
|
E1985825
|
NE FINISHED |
How this triple was built (3 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: Papanasam Sivan | Statement: [Naam Iruvar, hasSongLyricist, Papanasam Sivan]
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: Papanasam Sivan Triple: [Naam Iruvar, hasSongLyricist, Papanasam Sivan]
Generated description
Papanasam Sivan was a renowned 20th-century Carnatic composer and Tamil film music lyricist, often hailed as the "Tamil Tyagaraja" for his prolific and devotional compositions.
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasSongLyricist Context triple: [Naam Iruvar, hasSongLyricist, Papanasam Sivan]
-
A.
hasLyric
Indicates that one entity (typically a musical work or track) contains or is associated with the lyrics provided by another entity.
-
B.
hasAdditionalLyricsBy
Indicates that an entity (such as a musical work or track) includes extra or modified lyrics contributed by a specified person or group beyond the original lyricist.
-
C.
lyricist
chosen
Indicates that one entity is the writer of the words (lyrics) for a musical work associated with another entity.
-
D.
hasLyricsIn
Indicates that the lyrics of a work are written or available in a specified language.
-
E.
hasUnknownLyricist
Indicates that the lyricist associated with a work is not known or cannot be identified.
- F. None of above.
Provenance (6 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_69f09126cfcc8190899b16fbf3c2bf7b |
completed | April 28, 2026, 10:51 a.m. |
| NER | Named-entity recognition | batch_69f72921cf2c8190909bb53f78bcc890 |
completed | May 3, 2026, 10:53 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a2eb11339f881909dafc190adbb6cf1 |
completed | June 14, 2026, 1:48 p.m. |
| NEDg | Description generation | batch_6a2eb18e4574819083ab55a9b48d3adb |
completed | June 14, 2026, 1:50 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a2eb20d3f8c81909fa01e2e1e1c0604 |
completed | June 14, 2026, 1:52 p.m. |
| PD | Predicate disambiguation | batch_69f7283d8cec8190b524c144948bc4ec |
completed | May 3, 2026, 10:49 a.m. |
Created at: April 28, 2026, 1:30 p.m.