Triple
T21898677
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Thirty Seconds to Mars |
E540749
|
entity |
| Predicate | notableSong |
P4
|
FINISHED |
| Object |
Walk on Water
"Walk on Water" is a politically charged rock anthem by American band Thirty Seconds to Mars that explores themes of unity, resistance, and the state of contemporary America.
|
E1508046
|
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: Walk on Water | Statement: [Thirty Seconds to Mars, notableSong, Walk on Water]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Walk on Water Context triple: [Thirty Seconds to Mars, notableSong, Walk on Water]
-
A.
Walk on Water
"Walk on Water" is a song by Eminem, featuring Beyoncé, released in 2017 as the lead single from his album "Revival."
-
B.
Walking on Water
Walking on Water is an Australian drama film noted for its sensitive exploration of friendship, grief, and assisted dying.
-
C.
Tread Water
"Tread Water" is a track by the hip-hop group De La Soul from their influential debut album "3 Feet High and Rising."
-
D.
Treading Water
"Treading Water" is a song by the American rock band Hope.
-
E.
Don’t Go Near the Water
Don’t Go Near the Water is a 1957 American romantic comedy film set in the U.S. Navy during World War II, known for its humorous take on military public relations and wartime romance.
- 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: Walk on Water Triple: [Thirty Seconds to Mars, notableSong, Walk on Water]
Generated description
"Walk on Water" is a politically charged rock anthem by American band Thirty Seconds to Mars that explores themes of unity, resistance, and the state of contemporary America.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Walk on Water Target entity description: "Walk on Water" is a politically charged rock anthem by American band Thirty Seconds to Mars that explores themes of unity, resistance, and the state of contemporary America.
-
A.
Walk on Water
"Walk on Water" is a song by Eminem, featuring Beyoncé, released in 2017 as the lead single from his album "Revival."
-
B.
Walking on Water
Walking on Water is an Australian drama film noted for its sensitive exploration of friendship, grief, and assisted dying.
-
C.
Tread Water
"Tread Water" is a track by the hip-hop group De La Soul from their influential debut album "3 Feet High and Rising."
-
D.
Treading Water
"Treading Water" is a song by the American rock band Hope.
-
E.
Don’t Go Near the Water
Don’t Go Near the Water is a 1957 American romantic comedy film set in the U.S. Navy during World War II, known for its humorous take on military public relations and wartime romance.
- 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_69e0c47b4e8c81908c8076eaa4c8e4f2 |
completed | April 16, 2026, 11:14 a.m. |
| NER | Named-entity recognition | batch_69f11fc8c2108190b55ff1ba3badc9fb |
completed | April 28, 2026, 8:59 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0a5a03382c819096fc1806717b1c23 |
completed | May 18, 2026, 12:14 a.m. |
| NEDg | Description generation | batch_6a0a5a967d28819084a37207e17d4f68 |
completed | May 18, 2026, 12:17 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0a5b24f6708190bfe903dceb0e9210 |
completed | May 18, 2026, 12:19 a.m. |
Created at: April 16, 2026, 7:07 p.m.