Triple
T13005309
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mark Haddon |
E322269
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object |
Boom!
Boom! is a humorous science-fiction adventure novel by Mark Haddon, aimed primarily at younger readers and involving children who uncover a bizarre extraterrestrial conspiracy.
|
E1015836
|
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: Boom! | Statement: [Mark Haddon, notableWork, Boom!]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Boom! Context triple: [Mark Haddon, notableWork, Boom!]
-
A.
Boom!
"Boom!" is a song featured on the album "The Tipping Point."
-
B.
Dynamite!
Dynamite! is a segment or component associated with the acclaimed novel "Things Fall Apart," likely representing an adaptation, chapter, or related creative work expanding on its themes.
-
C.
Dynamite!
"Dynamite!" is an upbeat R&B single by American singer Stacy Lattisaw, released in 1980 and recognized as one of her signature hits.
-
D.
The Boom
The Boom was a Japanese rock band best known for their 1993 hit single "Shima Uta," which blended rock with Okinawan folk influences.
-
E.
Kaboom
Kaboom is a 2010 surreal coming-of-age dark comedy film written and directed by Gregg Araki.
- 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: Boom! Triple: [Mark Haddon, notableWork, Boom!]
Generated description
Boom! is a humorous science-fiction adventure novel by Mark Haddon, aimed primarily at younger readers and involving children who uncover a bizarre extraterrestrial conspiracy.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Boom! Target entity description: Boom! is a humorous science-fiction adventure novel by Mark Haddon, aimed primarily at younger readers and involving children who uncover a bizarre extraterrestrial conspiracy.
-
A.
Boom!
"Boom!" is a song featured on the album "The Tipping Point."
-
B.
Dynamite!
Dynamite! is a segment or component associated with the acclaimed novel "Things Fall Apart," likely representing an adaptation, chapter, or related creative work expanding on its themes.
-
C.
Dynamite!
"Dynamite!" is an upbeat R&B single by American singer Stacy Lattisaw, released in 1980 and recognized as one of her signature hits.
-
D.
The Boom
The Boom was a Japanese rock band best known for their 1993 hit single "Shima Uta," which blended rock with Okinawan folk influences.
-
E.
Kaboom
Kaboom is a 2010 surreal coming-of-age dark comedy film written and directed by Gregg Araki.
- 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_69d807657e8c8190bd9435ee2f823845 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69d97e9b27ec8190815c40a05b9ba7d0 |
completed | April 10, 2026, 10:50 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6c109e59481909fc46b152034c6a9 |
completed | May 3, 2026, 3:29 a.m. |
| NEDg | Description generation | batch_69f6c20a1eb881908a28dc884c2005ef |
completed | May 3, 2026, 3:33 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69f6c34b9ec08190bb29458b6f43c388 |
completed | May 3, 2026, 3:38 a.m. |
Created at: April 9, 2026, 8:48 p.m.