Triple
T2734013
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | John McCain III |
E60384
|
entity |
| Predicate | authored |
P80
|
FINISHED |
| Object |
Hard Call
Hard Call is a political and historical book by U.S. Senator John McCain that explores the nature of leadership and decision-making through profiles of notable figures and pivotal moments.
|
E291969
|
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: Hard Call | Statement: [John McCain III, authored, Hard Call]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hard Call Context triple: [John McCain III, authored, Hard Call]
-
A.
A Friendly Call
"A Friendly Call" is an 1895 oil painting by American Impressionist William Merritt Chase, depicting two elegantly dressed women conversing in a refined domestic interior.
-
B.
Give Me a Call
"Give Me a Call" is a song from John Legend's 2008 R&B/soul album "Evolver."
-
C.
Hard Contract
"Hard Contract" is a 1969 Cold War-era spy thriller film starring Sterling Hayden and James Coburn, centered on a contract killer assigned a final series of assassinations.
-
D.
Hard Way
"Hard Way" is a song featured on the album "All I Want Is You."
-
E.
The Call (2013 film)
The Call is a 2013 American thriller film starring Halle Berry as a 911 operator who becomes entangled in a life-or-death kidnapping case.
- 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: Hard Call Triple: [John McCain III, authored, Hard Call]
Generated description
Hard Call is a political and historical book by U.S. Senator John McCain that explores the nature of leadership and decision-making through profiles of notable figures and pivotal moments.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Hard Call Target entity description: Hard Call is a political and historical book by U.S. Senator John McCain that explores the nature of leadership and decision-making through profiles of notable figures and pivotal moments.
-
A.
A Friendly Call
"A Friendly Call" is an 1895 oil painting by American Impressionist William Merritt Chase, depicting two elegantly dressed women conversing in a refined domestic interior.
-
B.
Give Me a Call
"Give Me a Call" is a song from John Legend's 2008 R&B/soul album "Evolver."
-
C.
Hard Contract
"Hard Contract" is a 1969 Cold War-era spy thriller film starring Sterling Hayden and James Coburn, centered on a contract killer assigned a final series of assassinations.
-
D.
Hard Way
"Hard Way" is a song featured on the album "All I Want Is You."
-
E.
The Call (2013 film)
The Call is a 2013 American thriller film starring Halle Berry as a 911 operator who becomes entangled in a life-or-death kidnapping case.
- 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_69ab4b75cd908190b691ef0d1801acda |
completed | March 6, 2026, 9:47 p.m. |
| NER | Named-entity recognition | batch_69abdb0e7b888190bfa5d2e33f00ec0f |
completed | March 7, 2026, 8 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69afb6a15e548190a118880f9904f9cc |
completed | March 10, 2026, 6:13 a.m. |
| NEDg | Description generation | batch_69afb78d9f0c8190ad276922aa19945d |
completed | March 10, 2026, 6:17 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69afb7e8a8548190b5b4e7772e0adcf6 |
completed | March 10, 2026, 6:19 a.m. |
Created at: March 6, 2026, 9:56 p.m.