Triple
T11836284
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tony Hawk's Pro Skater 4 |
E281522
|
entity |
| Predicate | notableLevel |
P101773
|
FINISHED |
| Object |
Zoo
Zoo is a skateboarding level set in an animal park environment featured in the video game Tony Hawk's Pro Skater 4.
|
E950349
|
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: Zoo | Statement: [Tony Hawk's Pro Skater 4, notableLevel, Zoo]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Zoo Context triple: [Tony Hawk's Pro Skater 4, notableLevel, Zoo]
-
A.
Zoo
"Zoo" is a television drama series based on James Patterson’s novel, depicting a global uprising of animals against humanity.
-
B.
The Zoo
"The Zoo" is the raucous student section and fan base known for creating an intense home-field atmosphere at Arizona Stadium, home of the University of Arizona Wildcats football team.
-
C.
The Zoo
The Zoo is the energetic student cheering section for the University of Montana Grizzlies football team, known for its loud, passionate game-day atmosphere.
-
D.
The Zoo
"The Zoo" is a popular nickname for Kalamazoo, Michigan, reflecting the city's lively character and strong local identity.
-
E.
The Zoo
"The Zoo" is a popular hard rock song by the German band Scorpions, known for its heavy riff and frequent appearance in their live performances.
- 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: Zoo Triple: [Tony Hawk's Pro Skater 4, notableLevel, Zoo]
Generated description
Zoo is a skateboarding level set in an animal park environment featured in the video game Tony Hawk's Pro Skater 4.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Zoo Target entity description: Zoo is a skateboarding level set in an animal park environment featured in the video game Tony Hawk's Pro Skater 4.
-
A.
Zoo
"Zoo" is a television drama series based on James Patterson’s novel, depicting a global uprising of animals against humanity.
-
B.
The Zoo
The Zoo is the energetic student cheering section for the University of Montana Grizzlies football team, known for its loud, passionate game-day atmosphere.
-
C.
The Zoo
"The Zoo" is the raucous student section and fan base known for creating an intense home-field atmosphere at Arizona Stadium, home of the University of Arizona Wildcats football team.
-
D.
The Zoo
"The Zoo" is a popular nickname for Kalamazoo, Michigan, reflecting the city's lively character and strong local identity.
-
E.
The Zoo
"The Zoo" is a popular hard rock song by the German band Scorpions, known for its heavy riff and frequent appearance in their live performances.
- 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_69d6ab276f8c8190b1966a0ef11349ac |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d8be15fb2481908f514781ce2c617f |
completed | April 10, 2026, 9:08 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f16765aac481908b4cb474b141d842 |
completed | April 29, 2026, 2:05 a.m. |
| NEDg | Description generation | batch_69f17004fb908190a486c6718c5252cb |
completed | April 29, 2026, 2:42 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69f1db11f0f48190832ca4f552f21751 |
completed | April 29, 2026, 10:18 a.m. |
Created at: April 8, 2026, 9:43 p.m.