Triple
T5278015
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject |
E119419
|
entity | |
| Predicate | tickerSymbol |
P1447
|
FINISHED |
| Object |
PINS
PINS is the stock ticker symbol for Pinterest, a visual discovery and social media platform where users find and save ideas through images and videos.
|
E509088
|
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: PINS | Statement: [Pinterest, tickerSymbol, PINS]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: PINS Context triple: [Pinterest, tickerSymbol, PINS]
-
A.
Needles and Pins
"Needles and Pins" is a well-known pop song, originally popularized in the 1960s and later famously covered by the Ramones on their album "Road to Ruin."
-
B.
Pijin
Pijin is an English-based creole language widely used as a lingua franca in the Solomon Islands.
-
C.
PNI
PNI (Partai Nasional Indonesia) was a major Indonesian nationalist political party that played a key role in the country’s struggle for independence and was led by Sukarno, Indonesia’s first president.
-
D.
Pixels
Pixels is a 2015 science fiction comedy film in which classic video game characters attack Earth, prompting former arcade champions to defend the planet.
-
E.
PIP
PIP is a UK welfare benefit that helps disabled people or those with long-term health conditions cover the extra costs of daily living and mobility.
- 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: PINS Triple: [Pinterest, tickerSymbol, PINS]
Generated description
PINS is the stock ticker symbol for Pinterest, a visual discovery and social media platform where users find and save ideas through images and videos.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: PINS Target entity description: PINS is the stock ticker symbol for Pinterest, a visual discovery and social media platform where users find and save ideas through images and videos.
-
A.
Needles and Pins
"Needles and Pins" is a well-known pop song, originally popularized in the 1960s and later famously covered by the Ramones on their album "Road to Ruin."
-
B.
Pijin
Pijin is an English-based creole language widely used as a lingua franca in the Solomon Islands.
-
C.
PNI
PNI (Partai Nasional Indonesia) was a major Indonesian nationalist political party that played a key role in the country’s struggle for independence and was led by Sukarno, Indonesia’s first president.
-
D.
Pixels
Pixels is a 2015 science fiction comedy film in which classic video game characters attack Earth, prompting former arcade champions to defend the planet.
-
E.
PIP
PIP is a UK welfare benefit that helps disabled people or those with long-term health conditions cover the extra costs of daily living and mobility.
- 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_69bd446d05a8819092ad333a3f9c8d5c |
completed | March 20, 2026, 12:58 p.m. |
| NER | Named-entity recognition | batch_69bd8474e7fc8190ab5dd84f665ae6a4 |
completed | March 20, 2026, 5:31 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bf06d9aab08190ad9905925a849922 |
completed | March 21, 2026, 9 p.m. |
| NEDg | Description generation | batch_69bf0940d79081909d0f87359df5100f |
completed | March 21, 2026, 9:10 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69bf0999f36c8190bb707c27228690f7 |
completed | March 21, 2026, 9:11 p.m. |
Created at: March 20, 2026, 1:51 p.m.