Triple
T16011684
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Peter Watts |
E388349
|
entity |
| Predicate | authorOf |
P4244
|
FINISHED |
| Object |
Behemoth
Behemoth is a hard science fiction novel by Peter Watts, known for its bleak, biologically grounded depiction of posthuman evolution and deep-space horror.
|
E1190800
|
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: Behemoth | Statement: [Peter Watts, authorOf, Behemoth]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Behemoth Context triple: [Peter Watts, authorOf, Behemoth]
-
A.
Behemoth
Behemoth is a towering steel hypercoaster at Canada's Wonderland known for its massive drops, high speeds, and airtime-filled layout.
-
B.
Behemoth
Behemoth is a large, demonic, talking black cat and one of Woland’s mischievous companions in Mikhail Bulgakov’s novel "The Master and Margarita."
-
C.
Behemoth
Behemoth is a colossal, mammoth-like Titan from the Godzilla–Kong MonsterVerse known for its towering size, tusks, and tree-trunk-like forelimbs.
-
D.
The Beast
The Beast is a song by Bill Callahan featured on his album "Shepherd in a Sheepskin Vest."
-
E.
The Beast
The Beast is an alternate name for the Doom Slayer, the relentless demon-slaying protagonist of the Doom video game series.
- 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: Behemoth Triple: [Peter Watts, authorOf, Behemoth]
Generated description
Behemoth is a hard science fiction novel by Peter Watts, known for its bleak, biologically grounded depiction of posthuman evolution and deep-space horror.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Behemoth Target entity description: Behemoth is a hard science fiction novel by Peter Watts, known for its bleak, biologically grounded depiction of posthuman evolution and deep-space horror.
-
A.
Behemoth
Behemoth is a towering steel hypercoaster at Canada's Wonderland known for its massive drops, high speeds, and airtime-filled layout.
-
B.
Behemoth
Behemoth is a large, demonic, talking black cat and one of Woland’s mischievous companions in Mikhail Bulgakov’s novel "The Master and Margarita."
-
C.
Behemoth
Behemoth is a colossal, mammoth-like Titan from the Godzilla–Kong MonsterVerse known for its towering size, tusks, and tree-trunk-like forelimbs.
-
D.
The Beast
The Beast is an alternate name for the Doom Slayer, the relentless demon-slaying protagonist of the Doom video game series.
-
E.
The Beast
The Beast is a 1996 American made-for-television miniseries adaptation of Peter Benchley’s novel about a giant squid terrorizing a coastal community.
- 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_69d86dabcb7c8190b6a39d6831d2fa1b |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e1829119648190aef5b5e84b26d898 |
completed | April 17, 2026, 12:45 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ffdbcc12dc8190a80d776b63a6ad35 |
completed | May 10, 2026, 1:13 a.m. |
| NEDg | Description generation | batch_69ffdc915be88190a0e949fcee608242 |
completed | May 10, 2026, 1:17 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ffdd17239c8190a3c0c4d146a279f7 |
completed | May 10, 2026, 1:19 a.m. |
Created at: April 10, 2026, 4:55 a.m.