Triple
T9459175
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Daniel Keyes |
E228096
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object |
The Touch
The Touch is a psychological science fiction novel by Daniel Keyes that explores the emotional and ethical consequences of a man gaining dangerous telekinetic powers.
|
E801370
|
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: The Touch | Statement: [Daniel Keyes, notableWork, The Touch]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: The Touch Context triple: [Daniel Keyes, notableWork, The Touch]
-
A.
“Touch”
“Touch” is a track by the Japanese rock band L'Arc-en-Ciel from their album *Seal IV*.
-
B.
Touché
Touché is the lively official mascot of the Canadian Football League’s Montreal Alouettes, known for entertaining fans at games and team events.
-
C.
Touch It
"Touch It" is a moody, synth-driven pop and R&B song by Ariana Grande from her 2016 album *Dangerous Woman*, noted for its soaring vocals and emotional intensity.
-
D.
Fingertips
"Fingertips" is an early 1960s live-recorded hit single by Stevie Wonder that became his first number-one song on the Billboard Hot 100.
-
E.
Touchstone
Touchstone is a publishing imprint known for releasing a wide range of commercial fiction and nonfiction titles.
- 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: The Touch Triple: [Daniel Keyes, notableWork, The Touch]
Generated description
The Touch is a psychological science fiction novel by Daniel Keyes that explores the emotional and ethical consequences of a man gaining dangerous telekinetic powers.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: The Touch Target entity description: The Touch is a psychological science fiction novel by Daniel Keyes that explores the emotional and ethical consequences of a man gaining dangerous telekinetic powers.
-
A.
“Touch”
“Touch” is a track by the Japanese rock band L'Arc-en-Ciel from their album *Seal IV*.
-
B.
Touché
Touché is the lively official mascot of the Canadian Football League’s Montreal Alouettes, known for entertaining fans at games and team events.
-
C.
Touch It
"Touch It" is a moody, synth-driven pop and R&B song by Ariana Grande from her 2016 album *Dangerous Woman*, noted for its soaring vocals and emotional intensity.
-
D.
Fingertips
"Fingertips" is an early 1960s live-recorded hit single by Stevie Wonder that became his first number-one song on the Billboard Hot 100.
-
E.
Touchstone
Touchstone is a publishing imprint known for releasing a wide range of commercial fiction and nonfiction titles.
- 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_69ca843b123881909b0e60028475d12d |
completed | March 30, 2026, 2:10 p.m. |
| NER | Named-entity recognition | batch_69cd7fc916348190aeb3874a89071677 |
completed | April 1, 2026, 8:27 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d1228d7a488190b537db256f386786 |
completed | April 4, 2026, 2:39 p.m. |
| NEDg | Description generation | batch_69d12395841c8190857de8a50ab6345c |
completed | April 4, 2026, 2:43 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69d1275bcbd88190a5742a9cf802425a |
completed | April 4, 2026, 2:59 p.m. |
Created at: March 30, 2026, 7:52 p.m.