Triple
T7868289
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Zita Johann |
E182672
|
entity |
| Predicate | appearedIn |
P795
|
FINISHED |
| Object |
Tiger Shark
Tiger Shark is a 1932 American pre-Code adventure drama film directed by Howard Hawks and starring Edward G. Robinson.
|
E701394
|
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: Tiger Shark | Statement: [Zita Johann, appearedIn, Tiger Shark]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tiger Shark Context triple: [Zita Johann, appearedIn, Tiger Shark]
-
A.
Shark
Shark is an American legal drama television series starring James Woods as a ruthless but reforming Los Angeles prosecutor.
-
B.
Galapagos shark
The Galapagos shark is a large, sleek requiem shark found in tropical and subtropical oceanic waters, especially around remote islands, where it is a dominant mid-level predator.
-
C.
The Shark
"The Shark" is a poem by Greek national poet Dionysios Solomos, reflecting his Romantic style and thematic focus on nature and the human condition.
-
D.
Tiburon
Tiburon is a small, affluent waterfront town in Marin County, California, known for its scenic views of San Francisco Bay and ferry access to nearby islands.
-
E.
Tiburon
Tiburon is a coastal commune in southwestern Haiti known for its location on the Tiburon Peninsula along the Caribbean Sea.
- 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: Tiger Shark Triple: [Zita Johann, appearedIn, Tiger Shark]
Generated description
Tiger Shark is a 1932 American pre-Code adventure drama film directed by Howard Hawks and starring Edward G. Robinson.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Tiger Shark Target entity description: Tiger Shark is a 1932 American pre-Code adventure drama film directed by Howard Hawks and starring Edward G. Robinson.
-
A.
Shark
Shark is an American legal drama television series starring James Woods as a ruthless but reforming Los Angeles prosecutor.
-
B.
Galapagos shark
The Galapagos shark is a large, sleek requiem shark found in tropical and subtropical oceanic waters, especially around remote islands, where it is a dominant mid-level predator.
-
C.
The Shark
"The Shark" is a poem by Greek national poet Dionysios Solomos, reflecting his Romantic style and thematic focus on nature and the human condition.
-
D.
Tiburon
Tiburon is a small, affluent waterfront town in Marin County, California, known for its scenic views of San Francisco Bay and ferry access to nearby islands.
-
E.
Tiburon
Tiburon is a coastal commune in southwestern Haiti known for its location on the Tiburon Peninsula along the Caribbean Sea.
- 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_69ca82894d9081908a832bfce71a4714 |
completed | March 30, 2026, 2:02 p.m. |
| NER | Named-entity recognition | batch_69cb3847c7fc819098e32b6548943da7 |
completed | March 31, 2026, 2:58 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cb5b60b3b08190832837bacb8ce965 |
completed | March 31, 2026, 5:28 a.m. |
| NEDg | Description generation | batch_69cb7630b8908190a0b8f4856bceea0a |
completed | March 31, 2026, 7:22 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69cbbfb894588190971ade076acdbd5c |
completed | March 31, 2026, 12:36 p.m. |
Created at: March 30, 2026, 4:55 p.m.