Triple
T20551209
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Monolith Productions |
E504600
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object |
Blood
Blood is a 1997 first-person shooter video game known for its dark humor, extreme violence, and horror-themed atmosphere.
|
E1436939
|
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: Blood | Statement: [Monolith Productions, notableWork, Blood]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Blood Context triple: [Monolith Productions, notableWork, Blood]
-
A.
Blood
"Blood" is a critically acclaimed 1984 dream pop and ethereal wave album by the musical collective This Mortal Coil, known for its atmospheric soundscapes and haunting reinterpretations of classic songs.
-
B.
Blood
Blood is an American rock band best known for its melodic, guitar-driven sound and hits that gained prominence in the 1990s.
-
C.
Blood
"Blood" is a song by the indie rock supergroup Tired Pony, known for its melancholic tone and reflective lyrics.
-
D.
Blood
"Blood" is a 2019 memoir by American singer-songwriter Allison Moorer that explores her family history, including the murder-suicide of her parents and its lasting emotional impact.
-
E.
Blood
"Blood" is a song featured on the album *A Few Stars Apart* by Lukas Nelson & Promise of the Real.
- 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: Blood Triple: [Monolith Productions, notableWork, Blood]
Generated description
Blood is a 1997 first-person shooter video game known for its dark humor, extreme violence, and horror-themed atmosphere.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Blood Target entity description: Blood is a 1997 first-person shooter video game known for its dark humor, extreme violence, and horror-themed atmosphere.
-
A.
Blood
Blood is an American rock band best known for its melodic, guitar-driven sound and hits that gained prominence in the 1990s.
-
B.
Blood
"Blood" is a critically acclaimed 1984 dream pop and ethereal wave album by the musical collective This Mortal Coil, known for its atmospheric soundscapes and haunting reinterpretations of classic songs.
-
C.
Blood
"Blood" is a song by the indie rock supergroup Tired Pony, known for its melancholic tone and reflective lyrics.
-
D.
Blood
"Blood" is a 2019 memoir by American singer-songwriter Allison Moorer that explores her family history, including the murder-suicide of her parents and its lasting emotional impact.
-
E.
Blood
"Blood" is a song featured on the album *A Few Stars Apart* by Lukas Nelson & Promise of the Real.
- 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_69e0b4b52c048190952b4d0f430813a3 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e6a5d8b55081909c3e3e972aff846d |
completed | April 20, 2026, 10:16 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a08a57192d48190a83d509da5712f98 |
completed | May 16, 2026, 5:12 p.m. |
| NEDg | Description generation | batch_6a08a6439bc08190a2df7f1f7b24fadb |
completed | May 16, 2026, 5:15 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a08a70118dc8190bdf07bcc3342340e |
completed | May 16, 2026, 5:18 p.m. |
Created at: April 16, 2026, 11:38 a.m.