Triple
T2605233
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rudyard Kipling |
E58642
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object |
If—
"If—" is a widely anthologized poem by Rudyard Kipling that offers stoic, moral, and practical advice on how to live with integrity, resilience, and maturity.
|
E281219
|
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: If— | Statement: [Rudyard Kipling, notableWork, If—]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: If— Context triple: [Rudyard Kipling, notableWork, If—]
-
A.
If
"If" is a 1993 Janet Jackson song known for its fusion of R&B, rock, and industrial sounds, sexually assertive lyrics, and innovative, high-energy choreography in its music video.
-
B.
So
So is the given name of So Taguchi, a former Japanese professional baseball outfielder who played in both Nippon Professional Baseball and Major League Baseball.
-
C.
How.
How. is the standard abbreviated form of the journal title "Howard Reports," a legal case reporter.
-
D.
Este
Este is an ancient town in northern Italy notable as a key center of the Venetic civilization and culture.
-
E.
So.
So. is the standard legal citation abbreviation for the Southern Reporter, a regional case law reporter covering appellate court decisions from several U.S. southern states.
- 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: If— Triple: [Rudyard Kipling, notableWork, If—]
Generated description
"If—" is a widely anthologized poem by Rudyard Kipling that offers stoic, moral, and practical advice on how to live with integrity, resilience, and maturity.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: If— Target entity description: "If—" is a widely anthologized poem by Rudyard Kipling that offers stoic, moral, and practical advice on how to live with integrity, resilience, and maturity.
-
A.
If
"If" is a 1993 Janet Jackson song known for its fusion of R&B, rock, and industrial sounds, sexually assertive lyrics, and innovative, high-energy choreography in its music video.
-
B.
So
So is the given name of So Taguchi, a former Japanese professional baseball outfielder who played in both Nippon Professional Baseball and Major League Baseball.
-
C.
How.
How. is the standard abbreviated form of the journal title "Howard Reports," a legal case reporter.
-
D.
Este
Este is an ancient town in northern Italy notable as a key center of the Venetic civilization and culture.
-
E.
So.
So. is the standard legal citation abbreviation for the Southern Reporter, a regional case law reporter covering appellate court decisions from several U.S. southern states.
- 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_69ab4ac3523881909679750c9f8c2dec |
completed | March 6, 2026, 9:44 p.m. |
| NER | Named-entity recognition | batch_69abd864958c8190b3ad6123f1ac78ca |
completed | March 7, 2026, 7:48 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69af83dac58c81908be66bf40c810e3c |
completed | March 10, 2026, 2:37 a.m. |
| NEDg | Description generation | batch_69af846ab5888190aa04ee83752208e2 |
completed | March 10, 2026, 2:39 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69af84e909308190a6a1a2e818f263c4 |
completed | March 10, 2026, 2:41 a.m. |
Created at: March 6, 2026, 9:49 p.m.