Triple
T10956394
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dad Loves His Work |
E258856
|
entity |
| Predicate | hasTrack |
P3284
|
FINISHED |
| Object |
Stand and Fight
"Stand and Fight" is a song by James Taylor from his 1981 studio album "Dad Loves His Work."
|
E894572
|
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: Stand and Fight | Statement: [Dad Loves His Work, hasTrack, Stand and Fight]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Stand and Fight Context triple: [Dad Loves His Work, hasTrack, Stand and Fight]
-
A.
This Fight Is Our Fight
"This Fight Is Our Fight" is a political book by U.S. Senator Elizabeth Warren that outlines her vision for economic justice and critiques growing inequality in America.
-
B.
Fight On
"Fight On" is the iconic fight song of the University of Southern California, closely associated with the USC Trojans and their athletic traditions.
-
C.
Stood Up
"Stood Up" is a 1957 rock and roll single by Ricky Nelson that became one of his early chart hits.
-
D.
Won’t Stand Down
"Won’t Stand Down" is a heavy, guitar-driven 2022 single by English rock band Muse that blends metal influences with themes of empowerment and resistance.
-
E.
Fight the Good Fight
"Fight the Good Fight" is the inspirational motto of Iona University, encapsulating its emphasis on perseverance, integrity, and striving for excellence.
- 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: Stand and Fight Triple: [Dad Loves His Work, hasTrack, Stand and Fight]
Generated description
"Stand and Fight" is a song by James Taylor from his 1981 studio album "Dad Loves His Work."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Stand and Fight Target entity description: "Stand and Fight" is a song by James Taylor from his 1981 studio album "Dad Loves His Work."
-
A.
This Fight Is Our Fight
"This Fight Is Our Fight" is a political book by U.S. Senator Elizabeth Warren that outlines her vision for economic justice and critiques growing inequality in America.
-
B.
Fight On
"Fight On" is the iconic fight song of the University of Southern California, closely associated with the USC Trojans and their athletic traditions.
-
C.
Stood Up
"Stood Up" is a 1957 rock and roll single by Ricky Nelson that became one of his early chart hits.
-
D.
Won’t Stand Down
"Won’t Stand Down" is a heavy, guitar-driven 2022 single by English rock band Muse that blends metal influences with themes of empowerment and resistance.
-
E.
Fight the Good Fight
"Fight the Good Fight" is the inspirational motto of Iona University, encapsulating its emphasis on perseverance, integrity, and striving for excellence.
- 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_69d6aa88500c819097d7032ca578e74f |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d7710088e8819099e3272e26566c44 |
completed | April 9, 2026, 9:27 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e23c72196c8190b2336a130b64ab8e |
completed | April 17, 2026, 1:58 p.m. |
| NEDg | Description generation | batch_69e2454473f48190bfd44d0d0f48bc60 |
completed | April 17, 2026, 2:35 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69e245f3c9988190a74ddd330621f7e1 |
completed | April 17, 2026, 2:38 p.m. |
Created at: April 8, 2026, 9:23 p.m.